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by
Draper, Norman Richard, author.
Format:
Excerpt:
Applied regression analysis / Draper, Norman Richard, author.
by
Chatterjee, Samprit, author.
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Regression analysis by example / Chatterjee, Samprit, author.
by
Chatterjee, Samprit, 1938-
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Excerpt:
Handbook of regression analysis Chatterjee, Samprit, 1938-
by
Montgomery, Douglas C., author.
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Introduction to linear regression analysis / Montgomery, Douglas C., author.
by
Takahashi, Shin, author.
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The manga guide to regression analysis / Takahashi, Shin, author.
by
Yan, Xin, 1955-
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Linear regression analysis theory and computing / Yan, Xin, 1955-
by
Cameron, Adrian Colin.
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Regression analysis of count data Cameron, Adrian Colin.
by
Montgomery, Douglas C., author.
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Introduction to linear regression analysis / Montgomery, Douglas C., author.
by
Qiu, Peihua, 1965-
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Image processing and jump regression analysis Qiu, Peihua, 1965-
by
Griffith, Daniel, author.
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Spatial regression analysis using eigenvector spatial filtering / Griffith, Daniel, author.
by
Kleinbaum, David G..
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Applied regression analysis and other multivariable methods / Kleinbaum, David G..
by
Mendenhall, William
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A second course in statistics : regression analysis / Mendenhall, William
by
Stanley, T. D., 1950-
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Meta-regression analysis in economics and business Stanley, T. D., 1950-
by
Bakiler, Hande, yazar.
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Excerpt:
Classification of gases with deep network-based features and regression analysis of concentration
by
Darlington, Richard B., author
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Regression analysis and linear models : concepts, applications, and implementation / Darlington
by
Kam, Cindy D., 1975-
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Modeling and interpreting interactive hypotheses in regression analysis Kam, Cindy D., 1975-
by
Freund, Rudolf J. (Rudolf Jakob), 1927-
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Regression analysis statistical modeling of a response variable. Freund, Rudolf J. (Rudolf Jakob
by
Wilson, J. Holton, author.
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Regression analysis : understanding and building business and economic models using Excel / Wilson
by
Wilson, J. Holton, author.
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Regression analysis : understanding and building business and economic models using Excel / Wilson
by
Bowerman, Bruce L., author.
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Regression analysis : unified concepts, practical applications, and computer implementation /
by
Hocking, R. R. (Ronald R.), 1932-
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Methods and applications of linear models regression and the analysis of variance / Hocking, R. R
by
Ciaburro, Giuseppe, author.
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Excerpt:
Regression analysis with R : design and develop statistical nodes to identify unique relationships
by
Webster, Allen.
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Introductory regression analysis with computer application for business and economics / Webster
by
Galwey, Nick, author.
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Introduction to mixed modelling : beyond regression and analysis of variance / Galwey, Nick, author.
by
Tan, Kok Chooi, author.
Format:
Excerpt:
Regression analysis of column ozone and selected atmospheric parameters in Peninsular Malaysia from
by
Skiadas, Christos H., editor.
Format:
Excerpt:
Data analysis and applications 1. Volume 2, : clustering and regression, modeling-estimating
by
Rickgarn, Heather Esther, author.
Format:
Excerpt:
Using Correlation and Regression Analysis to Determine the Relationship to Understanding Medicare
by
Welch, Catherine E., author.
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Regression Analysis / Welch, Catherine E., author.
by
De Gannes, Tirrell, author.
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Excerpt:
Crosshairs and Crossroads: A Logistic Regression Analysis of the Predictors of Gun Control / De
by
Zylstra, John, author.
Format:
Excerpt:
Generation and Analysis of Synthetic Data for Privacy Protection Under the Multivariate Linear
by
Sun, Yixuan, author.
Format:
Excerpt:
Deep Neural Network Regression and Sobol Sensitivity Analysis for Daily Solar Energy Prediction
by
Hein, Molly, author.
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Excerpt:
A Regression Analysis of Early Literacy to Minutes Read, Caregivers' Education, Books, and SES /
by
Pritsolas, Joshua, author.
Format:
Excerpt:
Principal Component Analysis and Spatial Regression Techniques to Model and Map Corn and Soybean
by
Tung, Mei-Ling, author.
Format:
Excerpt:
Integration among International Chinese Undergraduates: A Linear Regression Analysis / Tung, Mei-Ling, author.
by
Marchese, Scott, author.
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Semiparametric Regression Methods for Mixed Type Data Analysis / Marchese, Scott, author.
by
Özmen, İlknur.
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Poisson regression analysis methods.
by
Çetinkaya, Serenay.
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Excerpt:
Estimation of defective product analyses amount by neutrosofic regression analysis in artery-vein
by
Sarıkaya, Mücella Merve.
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regression analysis.
by
Albert, Arthur E.
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MATHEMATICS -- Probability & Statistics -- Regression Analysis.
by
Akdi, Yılmaz
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Regression analysis.
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Regression analysis.
by
Lemonte, Artur J., author.
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Regression analysis.
by
Wenzelburger, Georg, author.
Format:
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Regression analysis.
by
Tai, Bee-Choo.
Format:
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Regression analysis.
by
Schlittgen, Rainer, author.
Format:
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Regression analysis.
by
Wright, Daniel B.
Format:
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Regression analysis.
by
Berk, Richard A.
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Regression analysis.
by
Gamgam, Hamza
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Regression analysis
by
Weisberg, Sanford, 1947- author.
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Regression analysis.
by
O'Quigley, John.
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Regression analysis.
by
Richardson, Ronny., author.
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Regression analysis.
by
Petscher, Yaacov M.
Format:
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Regression analysis.
by
O'Gorman, Thomas W.
Format:
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Regression analysis.
by
Grigoletto, Matteo, author.
Format:
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Regression analysis.
by
Rhinehart, R. Russell, 1946- author.
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Regression analysis -- Mathematical models.
by
Davino, Cristina.
Format:
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Regression analysis.
by
Padovani, Gualtiero.
Format:
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Regression analysis.
by
Vach, Werner, author.
Format:
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Regression analysis.
by
Gerner, Barbara.
Format:
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Regression analysis.
by
Huitema, Bradley E., 1938-
Format:
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Regression analysis.
by
Orme, John G.
Format:
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Regression analysis.
by
Späth, Helmuth.
ScienceDirect http://www.sciencedirect.com/science/book/9780126564600
Format:
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Regression analysis -- Data processing.
by
Sahay, Amar., author.
Format:
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Regression analysis -- Data processing.
by
Uzgören, Nevin
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Regression analysis -- Dissertations, academic -- Turkey.
by
Girginer, Nuray
Format:
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Regression analysis -- Dissertations, academic -- Turkey.
by
Suárez Pérez, Erick L., 1953- author.
Format:
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Regression analysis.
by
Leiva, Víctor, author.
Format:
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Regression analysis.
by
Berry, William Dale.
Format:
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Regression analysis.
by
Klemelä, Jussi, 1965- author.
Format:
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Regression analysis.
by
Hilbe, Joseph M., 1944- author.
Format:
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Logistic regression analysis -- Data processing.
by
Hox, J. J.
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Regression analysis.
by
Sengupta, Debasis.
Format:
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Regression analysis.
by
Körs, Murat
Format:
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Regression analysis.
by
Vittinghoff, Eric.
Format:
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Regression analysis.
by
Öztürk, Tufan, Dr. Öğr. Üyesi, yazar.
Format:
Excerpt:
Logistic regression analysis -- Data processing.
by
Goos, Peter, author.
Format:
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Regression analysis.
by
Panik, Michael J.
Format:
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Regression analysis.
by
Rice, Daniel M.
Format:
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Logistic regression analysis.
by
Naghshpour, Shahdad., author.
Format:
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Regression analysis.
by
Mallinckrodt, Craig, 1958-
Format:
Excerpt:
Regression analysis -- Data processing.
by
Rusling, James F.
ScienceDirect http://www.sciencedirect.com/science/book/9780126044904
Format:
Excerpt:
Regression analysis -- Data processing.
by
Chernick, Michael R.
Format:
Excerpt:
proportions -- Hypothesis testing -- Correlation, regression, and logistic regression -- Contingency tables
by
Coussement, Kristof.
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Excerpt:
-- Cluster analysis -- Hypothesis testing -- Correlations -- Regression analysis -- Discriminant analysis.
by
Myers, Jerome L.
Format:
Excerpt:
pt. 1. Foundations of research design and data analysis -- pt. 2. Between-subjects designs -- pt. 3
by
Trotta, Raymond J.
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-- Activity-based management -- Regression analysis -- Components of value -- Valuation.
by
Pestman, Wiebe R., 1954-
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-- Hypothesis testing -- Simple regression analysis -- Normal analysis of variance -- Non-parametric methods
by
Cumming, Geoff
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-- Regression -- Frequencies, proportions, and risk -- Extended designs : one independent variable -- Extended
by
Ramachandran, K. M., author.
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and applications -- Linear regression models -- Design of experiments -- Analysis of variance
by
Roussas, George G., author.
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about testing hypotheses -- A simple linear regression model -- Two analysis of variance models -- Some
by
Gore, Daniel.
Format:
Excerpt:
-- Appendix 1: Regression analysis and econometrics -- Appendix 2: Models for demand estimation -- Appendix 3
by
Zhou, Shifei.
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: evaluation criterion and optimization -- A novel mean reversion-based local volatility model -- Regression
by
Hayavadana, J.
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Excerpt:
-- 7 Linear regression -- 8 Time Series -- 9 Control charts -- 10 Tests of significance -- 11 Analysis
by
Abrahams, Clark R., 1951-
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Excerpt:
-- Analytic process initiation -- Loan pricing analysis -- Regression analysis for compliance testing
by
Peat, Jennifer K.
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-tests -- Continuous variables: analysis of variance -- Continuous data analyses: correlation and regression
by
Everitt, Brian.
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approaches to the analysis of longitudinal data from clinical trials -- Multivariate normal regression models
by
Hanlon, Ryan P., author.
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multiple regression analysis. After analyzing the results of the statistical testing, all three hypotheses
by
Clough, Lauren, author.
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entered kindergarten. Linear regression analysis suggested a relationship between child executive
by
Boaro, Marta. editor.
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fuel cells -- Catalysts and processes in solid oxide fuel cells -- Energy system analysis of SOFC
by
Angelov, Plamen. editor.
Format:
Excerpt:
) -- Cognition and Control (CC) -- Learning and Evolution (LE) -- Clustering and Regression (CR).
by
Hurtado, Aída, author.
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Excerpt:
Chicana feminist intersectional analysis of Latinos definitions of manhoods -- The Latino/a gendered
by
Caspi, David J., 1968-
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-- Findings : regression analysis of network characteristics -- Findings : regression analysis of group
by
Edwards, Jeffrey A., author.
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Introduction -- 1. Basic regression analysis and inference -- 2. More sophisticated regression
by
McMillen, Daniel P. author.
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Quantile regression analysis differs from more conventional regression models in its emphasis on
by
Wilcox, Rand R.
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accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA
by
Rao, C. Radhakrishna (Calyampudi Radhakrishna), 1920-
ScienceDirect https://www.sciencedirect.com/science/book/9780444537379
Format:
Excerpt:
: Statistical Methods for Assessing Biomarkers and Analyzing Biomarker Data; 3. Linear and Non-Linear Regression
by
Kanbur, S. M. Ravi.
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Excerpt:
inequality in the Philippines : an exploratory analysis / Spatial inequality and development in Central Asia
by
DeCoursey, W. J. (William J.)
ScienceDirect http://www.sciencedirect.com/science/book/9780750676182
Format:
Excerpt:
proportion -- Introduction to design of experiments -- Introduction to analysis of variance -- Chi
by
Forthofer, Ron N., 1944-
ScienceDirect https://www.sciencedirect.com/science/book/9780122622700
Format:
Excerpt:
. Tests of Hypotheses -- 10. Nonparametric Tests -- 11. Analysis of Categorical Data -- 12. Analysis of
by
Löwdin, Per-Olov, 1916-2000.
ScienceDirect http://www.sciencedirect.com/science/book/9780120348237
Format:
Excerpt:
Linear Relations by Regression Analysis in Quantum Chemistry and Other Sciences; Canonical and
by
Rudnick, Seana Grey, author.
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College variables. Multiple regression analysis demonstrated that students' attitude toward college were
by
Maki, Kristin G., author.
Format:
Excerpt:
hierarchical linear regression; supplemental analyses included coding open-ended responses and structural
by
Li, Qian, author.
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Excerpt:
, functional and longitudinal data analysis. These contributions focus on spatio-temporal modeling of EEG
by
Pechek, Ashley Ascherl, author.
Format:
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scores were analyzed with a standard multiple regression. The results of the statistical analysis
by
Sterling, Felicia Davis, author.
Format:
Excerpt:
this study. The One-Way Analysis of Variance and the Logistic Regression procedures were employed to
by
Cook, Tracy Lea, author.
Format:
Excerpt:
analysis of remotely sensed topographical parameters in MaxEnt to predict spatially explicit suitable
by
Talekar, Chinmay, author.
Format:
Excerpt:
approaches towards sentiment analysis. It aims to address sentiment analysis on financial news and microblogs
by
Graham, Trevor Arthur Akira, author.
Format:
Excerpt:
on the basis of results of principal components analysis. A series of multiple regression analyses
by
Wesley, Elizabeth Jane, author. (orcid)0000-0001-9366-0478
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Excerpt:
-resolution wavelet analysis of land surface temperature (LST) to determine the dominant length scales of LST. We used
by
Guo, Peng, author.
Format:
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machine, statistical methods such as logistic regression, linear discriminant analysis and voting
by
Maroongroge, Sean, author.
Format:
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facilities for qualitative analysis, compare the regulatory data with other commonly used sources, and
by
Liu, Qilin, author.
Format:
Excerpt:
activation distance and logistic regression models were developed to compare driver behavior between before
by
Bulsara, Shaun, author.
Format:
Excerpt:
subjects. Multiple linear regression was used to evaluate the LEDD and adverse events data while adjusting
by
Anjum, Aruba, author.
Format:
Excerpt:
resilience, GPA, age, and ethnicity using multiple regression analysis. A significant positive relationship
by
Crossen, Daniel, author.
Format:
Excerpt:
microsurgery over time, with focus on the bucco-lingual thickness of bone and the regression of the surface
by
Barziq, Ahmed O., author.
Format:
Excerpt:
perspectives on Islamist voters. Thus, this paper seeks to employ cross-national regression analysis in 10
by
Palaniswamy, Prashanth, author.
Format:
Excerpt:
obtained through MSDND analysis and use linear regression to automate the generation of invariants. The
by
Attal, Sheren, author.
Format:
Excerpt:
describe relationships of demographic, training and work setting variables with leadership. A regression
by
Wang, Yiqing, author.
Format:
Excerpt:
identifiability conditions for this proposed model. We also consider competing risks regression framework and
by
Gurley, Donna L., author.
Format:
Excerpt:
multiple regression analysis to determine the extent to which there is a relationship between note
by
Stanley, Sarah, author.
Format:
Excerpt:
models the placement values through beta regression. We compare the beta regression method to the
by
Islas, Matthew Steven, author.
Format:
Excerpt:
decisional procrastination in adults. The current study provided a more comprehensive analysis of the triadic
by
Franz, Peter, author.
Format:
Excerpt:
regression analysis. The determination of this research suggested banks had been losing revenue, along with
by
Rua, Joseph, author.
Format:
Excerpt:
Bayesian regression model with a non-informative prior, the analysis showed a weak relationship between
by
Collins, Lester Robert, Jr., author.
Format:
Excerpt:
logistic regression was conducted on the independent and control variables and the dependent variables of
by
Addo, Evans Dapaa, author.
Format:
Excerpt:
linear regression; linear regression, non Bayesian) in the MICE package in the statistical software, R
by
Davidson, Eric M., author.
Format:
Excerpt:
literature examining college athletics, the following study uses regression analysis to investigate the
by
Msabaeka, Tsitsi, author.
Format:
Excerpt:
), zero-one regression (ZO), logistic regression (LS), linear discriminant analysis (LDA), robust fitting
by
Arndt, Ellie J., author.
Format:
Excerpt:
educational environments. Structural equation modeling and regression analysis showed that the pattern of
by
Struempf, Lawrence, author.
Format:
Excerpt:
regression analysis were then run on the data. The results of this study can be used to identify high
by
Curtis-Chavez, Mark, author.
Format:
Excerpt:
CCSSE's 2012 -- 2014 survey were used to conduct a multiple regression analysis. The study's sample
by
Sagar, Durga Amruth, author.
Format:
Excerpt:
spread of the virus we used regression analysis. Our results show that the Zika virus can be detected
by
Naghshpour, Shahdad., author.
Format:
Excerpt:
-- 8. An introduction to regression analysis -- 9. Conclusion -- Glossary -- References -- Index.
by
Buchstaller, Isabelle.
Format:
Excerpt:
learned from research on quotation Appendix 1 Linear regression analysis investigating the conditioning
by
Welkowitz, Joan.
Format:
Excerpt:
Difference between Two Means Chapter 9: Linear Correlation Chapter 10: Prediction and Linear Regression
by
Naghshpour, Shahdad.
Format:
Excerpt:
to regression analysis -- 9. Conclusion -- Glossary -- References -- Index.
by
Katz, Mitchell H.
Format:
Excerpt:
expanded sections on cutting-edge techniques including Poisson regression, negative binomial regression
by
Schmidt, Anatoly B.
Format:
Excerpt:
-versus-taker strategies. The appendix will include Probability distributions and time series analysis. For self
by
Hilbe, Joseph.
Format:
Excerpt:
model count data. The book then gives an in-depth analysis of Poisson regression and an evaluation of
by
Dunlap, Jay C.
ScienceDirect http://www.sciencedirect.com/science/book/9780123808622
Format:
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. Ritchie and William S. Bush -- Logic regression and its extensions / Holger Schwender and Ingo Ruczinski
by
Nugus, Sue.
ScienceDirect http://www.sciencedirect.com/science/book/9781856175517
Format:
Excerpt:
; Regression Analysis; Time Series Analysis; Expected Values; Selecting and Evaluating Forecasting Techniques
by
Ashworth, Polly C. H., author.
Format:
Excerpt:
used hierarchical regression analysis to examine the roles of avoidant coping with pain and
by
Urquhart, Christine.
ScienceDirect http://www.sciencedirect.com/science/book/9781843341369
Format:
Excerpt:
analysis -- Belief revision -- Problems with Bayesian inference -- Saving face and minimising regret
by
Jefferis, Eric, author.
Format:
Excerpt:
-scan statistic analysis indicated that that risk of residential theft is significantly clustered at relatively
by
Zelditch, Miriam, 1952-
ScienceDirect http://www.sciencedirect.com/science/book/9780127784601
Format:
Excerpt:
-- Computer-based statistical methods -- Multivariate analysis of variance -- Regression -- Partial least
by
Yıldızçelik, Melih
Format:
Excerpt:
analysis and Regression Analysis. As a result of this study, a few good models are developed and it is
by
Kirkwood, Betty R.
Format:
Excerpt:
-- Linear regression and correlation -- Multiple regression -- Goodness of fit and regression diagnostics
by
Wilcox, Rand R.
ScienceDirect http://www.sciencedirect.com/science/book/9780127515410
Format:
Excerpt:
for applying cutting-edge techniques * Covers many contemporary ANOVA (analysis of variance) and
by
Aldrich, C. (Chris)
Format:
Excerpt:
-- Regression models -- Topographical mappings with neural networks -- Cluster analysis -- Extraction of rules
by
Cybulski, Andrzej, 1938-
ScienceDirect http://www.sciencedirect.com/science/book/9780444822024
Format:
Excerpt:
plants. Identification of stoichiometric expression. Parameter estimation and statistical analysis of
by
Whitaker, Kim, author.
Format:
Excerpt:
childhood. A regression analysis was used to identify the best predictive model of symptom severity, however
by
Pollock, D. S. G.
ScienceDirect http://www.sciencedirect.com/science/book/9780125609906
Format:
Excerpt:
. Matrix Computations; Chapter 8. Classical Regression Analysis.
by
Judge, George G.
Format:
Excerpt:
distribution of a simple pre-test estimator / David E.A. Giles -- Bayesian analysis in econometrics / Arnold
by
Cohen, Jacob, 1923-1998.
ScienceDirect http://www.sciencedirect.com/science/book/9780121790608
Format:
Excerpt:
of statistical power analysis. This edition discusses the concepts and types of power analysis, t
by
Gazowsky, Felicity Marilynn, author.
Format:
Excerpt:
between the independent variables and the dependent variables. Stepwise regression analysis was used to
by
Barney, Vivian Coleen, author.
Format:
Excerpt:
regression to assess the relationships of the proxies of Thomson Reuters ESG metrics of CSR corporate
by
Allevato, Daniella Meyer, author.
Format:
Excerpt:
environmental variation shape phytochemical diversity in Pilocarpus. Phylogenetic regression models determined
by
Zhu, Ziwei, author.
Format:
Excerpt:
result. We applied this approach to low-dimensional regression, high-dimensional sparse regression and
by
Dong, Junyi, author.
Format:
Excerpt:
Regression analysis studies the relationships among the response variable and the predictors. Some
by
Honsinger, Connie, author.
Format:
Excerpt:
-Other Differentiation Scale, Adverse Childhood Experiences Inventory-Revised, and demographic survey. Data analysis
by
Gavulic, Alyssa Marie, author. (orcid)0000-0001-6543-5580
Format:
Excerpt:
analysis to examine the relationship between these variables. Data analysis demonstrated that there were
by
Manion, Donna M., author.
Format:
Excerpt:
30,362. Proportions, logistic regression, and hierarchical multiple regression analysis of SH/SA
by
McKivigan, James M., author.
Format:
Excerpt:
independent samples t-tests and linear regression analysis did not provide support for the first two study
by
Banslaben, Jessica L., author.
Format:
Excerpt:
Spearman's Rank Order Correlation, Kruskal Wallis, and Mann Whitney U tests. Multivariate analysis included
by
Lyons, Sherrice, author.
Format:
Excerpt:
framework for this study, and multiple regression and correlation were utilized in the analysis of the data
by
Beckles, Arlene Patricia, author.
Format:
Excerpt:
correlation multiple regression analysis was conducted to determine how much emotional intelligence adds to
by
Elebute, Kunle, author.
Format:
Excerpt:
statistics and multinomial logistic regression analyses. Results of the data analysis indicated that a
by
Gravel, Tammy L., author.
Format:
Excerpt:
logistic regression analysis of data from 117 students who graduated between 2013--2016 indicated that none
by
Greenough, Larry Gene, author.
Format:
Excerpt:
, and 433 faculty members participated in the survey. The data analysis supported previous research that
by
Abbott-Egnor, Wendy, author.
Format:
Excerpt:
regression analysis. The data analysis did not lead to any significant results and therefore was unable to
by
Odamah, Esther, author.
Format:
Excerpt:
regression analysis was used, in which substance use was the outcome variable. Ethnic identity search was
by
Adekunle, Folorunso Stephen, author.
Format:
Excerpt:
regression analysis. The study was conducted using the statistical data collected through a web-based survey
by
Cuaron, Linda, author.
Format:
Excerpt:
. This study was a secondary analysis of data from NHANES (1999-2010) that included the weighted sample
by
Fabayo, Oluwayomi, author.
Format:
Excerpt:
regression analysis was used to determine the association between hypertensive heart disease and perceived
by
Hanson, Diamond Diane, author.
Format:
Excerpt:
Examination Survey (NHANES) were the sample under study. A univariate analysis was performed to describe the
by
Phillips, Larry D., author.
Format:
Excerpt:
knowledge sharing among coworkers. Hierarchical regression analysis revealed a significant mediating
by
Sharma, Neelam, author.
Format:
Excerpt:
performance on viewers' beliefs about transgender persons. Multivariate regression analysis demonstrates that
by
Guild, Erin, author.
Format:
Excerpt:
increases and as gender is female. Analysis also suggests that the odds of an alumnus making a financial
by
Ekhator, Uche Eseosa, author.
Format:
Excerpt:
margin effects while a regression analysis identifies the intensive margin effects. The essay uses data
by
Inghram, Charles Scott, author.
Format:
Excerpt:
analyses, including chi-square, t-test, and logistic regression were used to address the research questions
by
Chatterjee, Arijit, author.
Format:
Excerpt:
analysis on regression based statistical models are considered which show statistical measures to consider
by
Mcknight, Gregory L., author.
Format:
Excerpt:
teachers' perceptions of professional development in their district. A regression analysis was conducted
by
Yordy, Kelly A., author.
Format:
Excerpt:
across the United States. The analysis employed Ordinary Least Squares multiple regression as the
by
Gipson, John A., author.
Format:
Excerpt:
-level techniques such as regression and analysis of variance are commonly used to investigate student outcomes
by
Scovazzo, Nicole C., author.
Format:
Excerpt:
. Retrospective analysis of the medical records of 533 patients who underwent SG between January 1, 2014 and June
by
Bos, Dawn VanRuler, author.
Format:
Excerpt:
. Regression analysis including SRAHP, health risk score, employment status, months of mental illness, and
by
O'Shaughnessy, Corinne, author.
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Excerpt:
regression analysis found that two out of the three independent variables (attitudes toward hearing aids and
by
Wiest, Sara L., author.
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regression results reveal significant nonstationarity in relationships between the explanatory variables and
by
Savidge, Denise K., author.
Format:
Excerpt:
. Multinomial logistic regression results found that a model with the client-reported variables of effort into
by
Torain, Tamara Toles, author.
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moral reasoning N2-score, which reports post-conventional thinking. However, a regression analysis
by
Acharjee, Mithun Kumar, author.
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Analysis (LCA) to estimate these two components and determine how much of the variation in estimates can be
by
Bowers, Samuel, author.
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specific measures of prosocial and antisocial play. Regression models showed PAX dimensions as significant
by
Ourfalian, Laura Jacqueline, author.
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, correlation coefficient, T-tests, and ANOVA, were employed. Hierarchical Multiple Regression analysis was used
by
Contreras, Brenda, author.
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, standard deviation, and Chi-square test, Simple logistic regression, and Multiple logistic regression. The
by
Huang, Harrison, author.
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-way analysis of variance and regression analysis. Overall, there was no interaction between sample sites and
by
Smith, Jamie Kathryn, author.
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macrofaunal community abundance, biomass, and species richness. A stepwise multiple linear regression analysis
by
Kogan, Alyssa, author.
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temporally. Via GIS, descriptive statistics and spatial regression as the methods of analysis, the study
by
Desobry, Katherine, author.
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linear regression model. Secondary analysis showed there was no correlation between invasiveness and
by
Adamsen, Collette Marie, author.
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and to conduct a binary logistics regression analysis to determine if cultural participation was an
by
Raxter, Olivia, author.
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revenue function and conduct a multiple regression analysis. The attempt of such research is to determine
by
Fu, Wantong, author.
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analysis is conducted to estimate whether air pollution levels influence consumer interest in attending
by
Das, Sourangshu, author.
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general idea about different issues by analyzing these postings online using sentiment analysis algorithms
by
James, Joshua A., author.
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approaches including meta-analysis, non-metric multidimensional scaling (NMDS), analysis of variance (ANOVA
by
Natarajan, Balasubramaniam, author.
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estimator based on Beta kernels. For both these regression estimators, a comprehensive analysis of its large
by
Li, Xiao, author.
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Excerpt:
of summary statistics for subsequent analysis through the application of regression and machine
by
Rich, Amy E., author.
Format:
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analysis indicated that the FES-I and BES explained 35.4% of the variance in balance performance scores
by
Li, Wendy Fei, author.
Format:
Excerpt:
sociodemographics and Likert-style questions assessing perspectives on myopia. We employed logistic regression
by
Bowland, Lucyna Ann, author.
Format:
Excerpt:
multiple regression analysis of log centroid size on Procrustes shape variables was.
by
Li, Xia, author.
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due to variance inflation. A preliminary analysis on simulated samples drawn from a population of real
by
Ward, Ryan C., author.
Format:
Excerpt:
-ray absorptiometry (DXA) assessed hip areal bone mineral density (aBMD) and was used with hip structure analysis (HSA
by
Ikegaya, Makoto, author.
Format:
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stepwise regression analysis revealed that 68.9 percent of the spatial variation in the creative class by
by
Moran, Colleen C., author.
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completion date. To determine the statistical significance of the variables, regression analysis was
by
D'Amico, Elisa A., author. (orcid)0000-0003-4445-0735
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country reports and the European Social Survey. A multivariate regression controlling for region, economic
by
Howard, Marjorie, author.
Format:
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conditions quantile regression becomes the more advantageous method of analysis. Statistical power and
by
Sheth, Nidhi Dhrumit, author.
Format:
Excerpt:
other watershed’s discharge. The Mann-Kendall trend analysis and regression analysis revealed decreasing
by
Brogan, Molly E., author.
Format:
Excerpt:
participants was 3.5 out of 8. Data was analyzed utilizing regression analysis. No statistically significant
by
McCarter, Maggie S. J., author.
Format:
Excerpt:
. After preliminary analysis of interaction, stratified logistic regression analysis was performed to
by
Sage, Andrew John, author. (orcid)0000-0003-4656-9748
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Excerpt:
regression. Adapted from a popular approach used in polynomial regression, our method uses residual analysis
by
Sheffel, Amanda Fugate, author.
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Methods: The SAS 9.4 statistical program was used in analysis. Descriptive statistics, analysis of
by
Best, Neil A., author.
Format:
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climate measures contribute to the variation in campus sexual assault victimization? Logistic regression
by
Arias, Daniela M. Robles, author.
Format:
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plants theory analysis. By testing Moerman's theory, which is one of Ethnobotany's major theories, this
by
Sizemore, Shane, author.
Format:
Excerpt:
humor style. A chi-square test, logistic regression, ANOVA, and multiple regression analysis revealed
by
Chamorro, Charissa C., author.
Format:
Excerpt:
analysis (n = 362). Regression analyses revealed that childhood psychological abuse predicted anxiety in
by
Adamgbo, Anthony, author.
Format:
Excerpt:
null hypothesis; the level of statistical significance was set at .01. The regression analysis
by
Ritter, Karen Marie, author.
Format:
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, & Avey, 2007) tool, and then included a regression analysis of the four Psychological Capital states with
by
Turner, Jeremy Brandon, author.
Format:
Excerpt:
between organizational justice and enabling school structures. Additionally, a regression analysis
by
Schneider, Britney Colagross, author.
Format:
Excerpt:
collective efficacy. A correlational analysis and a regression analysis were both conducted to determine the
by
DiCuccio, Margaret, author.
Format:
Excerpt:
regression models were applied to medical/surgical unit data from seven facilities within one hospital system
by
Kennedy, Whitney L., author.
Format:
Excerpt:
endometriosis at multiple OB-GYN clinics in Eastern North Carolina. Multiple logistic regression was conducted
by
Asher, Shawn R., author.
Format:
Excerpt:
regression analysis was used to examine a retrospective data set to find the relationship of the criterion
by
Sharp, Amanda, author.
Format:
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multiple regression analysis was run to predict whether dysmorphic concern, body image concern, and/or BDD
by
Owen, Gary Brad, author.
Format:
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regression analyses revealed that faculty trust in principal and collaborative leadership behaviors together
by
Hawley, Kirsten R., author.
Format:
Excerpt:
implementation of the MPHI. Multiple regression analysis was used to examine the influence of sociodemographic
by
Simmons, Damon L., author.
Format:
Excerpt:
regression analysis of the PSQ-Op and PSQ-Org revealed no significant difference in reported work
by
Glos, Kelly Spann, author.
Format:
Excerpt:
linear regression analysis revealed teacher mindset has a moderate positive relationship with student
by
Ramirez, Jacqueline A., author.
Format:
Excerpt:
demographic questionnaire. A multiple linear regression and correlational analysis were conducted to assess
by
Simpson, Peter A., author.
Format:
Excerpt:
regression analysis. LCCs were found to be as safe as FSCs on a global level, and safer than FSCs in some
by
B. K., Anjali, author.
Format:
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(p<0.05), and greater CNA hours per resident/day (p<0.05). A multiple regression analysis determined
by
Greene, Michael Alan, author.
Format:
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course, a novel statistical methodology called nonlinear casual resource analysis was used to construct
by
Whitlock, Joshua Lee, author.
Format:
Excerpt:
principal component analysis to examine the factors involved in their decisions. A subset of 18 variables
by
Schichtel-Greenwood, Samantha, author.
Format:
Excerpt:
Students Longitudinal Study (04:09) and IPEDS to conduct a nonlinear hierarchical regression analysis that
by
Ehsani, Sina, author.
Format:
Excerpt:
artificial neural network, support vector machine, and logistic regression were employed to construct
by
Gadikor, Joel Edem Kwaku, author.
Format:
Excerpt:
Square Error and correlation and regression analyses. A general trend of under estimation of the fines
by
Dighe, Shruti, author. (orcid)0000-0002-6654-521X
Format:
Excerpt:
incident AMD by tertiles of pattern scores were estimated with logistic regression, adjusting for age, race
by
Rehman, Tehreem, author.
Format:
Excerpt:
). Multivariate logistic regression analysis demonstrated that several person-level factors, age of sixty years
by
Bean, Mary, author.
Format:
Excerpt:
. The results of the multiple regression analysis revealed an overall significance which suggested that
by
Stinson, Troy M., author.
Format:
Excerpt:
in the midwestern United States. A multiple linear regression analysis revealed a significant
by
Felemban, Mohammed Fareed, author.
Format:
Excerpt:
. Logistic regression analysis was applied to predict the odds ratio (OR) of the need for further grafting at
by
Sibble-McLeod, Sylvia, author.
Format:
Excerpt:
and measured data for dependent variable, team potency. A multiple linear regression analysis was
by
Yang, Zhe, author.
Format:
Excerpt:
by linear sequential regression analysis. These results found that prior CSR was associated with
by
Fortin, Melissa, author.
Format:
Excerpt:
using regression analysis. The first hypothesis for this research study looked at the Extroversion
by
Wilson, Tanya A., author.
Format:
Excerpt:
variables (resilience, hierarchical, and liberal thinking styles). A multiple regression analysis found only
by
French, Brian Patrick, author.
Format:
Excerpt:
Results from the logistic regression analysis indicated that academic advisor type was not a
by
Evener, Julie, author.
Format:
Excerpt:
regression analysis indicated that the number of students enrolled was negatively related to OL score. Six
by
Jno-Baptiste, Carol R., author.
Format:
Excerpt:
-sectional study. The sample comprised 982 participants (40% [394] men and 60% [588] women). Logistic regression
by
Egan, Heidi Buchert, author.
Format:
Excerpt:
quality, consistent with the biopsychosocial model of health, from a sample of 103 U.S. adults. Regression
by
Fields, Thomas B., author.
Format:
Excerpt:
on LinkedIn, and resulted in a sample of 230 participants. Stepwise multiple regression analysis was
by
Santana, Stephanie R., author.
Format:
Excerpt:
method to conduct bivariate correlations and multiple regression analysis from a sample of 128 military
by
Bristow Evans, Marianne, author.
Format:
Excerpt:
regression analysis showed that there was a statistically significant increase in the students' performance
by
Isaksson, Robin, author.
Format:
Excerpt:
patterns in data. One of their many applications is as method for regression analysis.
by
Bergmans, Rachel Sierra, author.
Format:
Excerpt:
analysis and fixed-effects regression are used to investigate aims of this dissertation. Main findings
by
Garcia, Adriana Mabel, author.
Format:
Excerpt:
between group difference by gender. A linear regression was conducted to examine the extent to which years
by
Yao, Zhihao, author.
Format:
Excerpt:
by applying a linear regression analysis. We found that there is a correlation between workload
by
Smith-Graber, Taylor, author.
Format:
Excerpt:
Cyanobacteria (~10%). Linear regression analysis revealed a significant negative correlation between observed
by
Banga, Jasdeep Singh, author.
Format:
Excerpt:
Technical analysis involves predicting asset price movements from analysis of historical prices
by
Brunelle, Timothy, author.
Format:
Excerpt:
were included in an analysis that investigated the relationship between a specific domain of cognitive
by
Sabandal, Clarke V., author.
Format:
Excerpt:
, birth weight, major anomalies, and length of stay) that influence these outcomes. Regression analyses
by
Lee, You Joung, author.
Format:
Excerpt:
perfectionists, and non-perfectionists. Hierarchical linear regression analyses were performed to examine the
by
Chen, Ziyue, author.
Format:
Excerpt:
regression-based estimators. However, the performance of the model-based average treatment effect estimators
by
Jones, Brandon R., author.
Format:
Excerpt:
A regression analysis was used to answer the research questions from school district data reported
by
McIntosh, Patricia A., author.
Format:
Excerpt:
regression and logit analysis looked at the relationship between successful completion of fire academy
by
Forjan, Nadya Enamorado, author.
Format:
Excerpt:
' academic performance. The multiple regression analysis yielded an adjusted R2 = .12, p < .001 for the three
by
Smith, Eric C., author.
Format:
Excerpt:
evaluation system were not discovered. Additionally, a multiple regression analysis showed the predictor
by
Alsaied, Tarek, author.
Format:
Excerpt:
gestational age. Multivariate analysis was used to determine the association of CCO and PIs at 30 weeks with
by
d'Amato, Maurizio. editor.
Format:
Excerpt:
-- Emerging Markets Under Basel III: Can Moral Hazard lead to systematic risk and Fragility? Analysis of REIT
by
Ao, Sio-Iong. editor.
Format:
Excerpt:
Proprietary and non Proprietary Tools for Industry Based Regression Testing Using IIGRTCP Algorithm -- Chapter
by
Does, Ronald J. M. M.
Format:
Excerpt:
-- Quality Quandaries: Analysis of Factorial Experiments with Defects or Defectives as the Response -- Part
by
Kandalaft, Tarek, author.
Format:
Excerpt:
phase separation. A DOE statistical regression analysis was completed to insure adequate sample sizes
by
Davis, David W., author.
Format:
Excerpt:
) cultivated from research in Self-Determination Theory (SDT). A factor analysis was completed to determine the
by
Melone, Michelle Ann, author.
Format:
Excerpt:
design options for the bio-separator. Using the results from the tests, multiple regression analysis was
by
Nguyen, Son, author.
Format:
Excerpt:
Dimension reduction for regression analysis has been one of the most popular topics in the past two
by
Bateh, Justin., author.
Format:
Excerpt:
-- 8. Linear regression -- 9. Analysis of variance -- Index.
by
Maheshwari, Anil, 1949-, author.
Format:
Excerpt:
applications -- 3. Data warehousing -- 4. Data mining -- 5. Decision trees -- 6. Regression -- 7. Artificial
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