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by
Guerard, Jr., John B. author.
Format:
Excerpt:
Chapter 1: Why do we forecast? -- Chapter 2: Regression Analysis and Forecasting Models -- Chapter
by
Matias, Álvaro. editor.
Format:
Excerpt:
Environmental Characteristics of Rural Tourism Lodging Units Using a Geographical Weighted Regression Model
by
Rahman, Pk. Md. Motiur. author.
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. Specifically, findings from logistic regression analysis, polychoric principal component analysis, kernel
by
Forthofer, Ron N., 1944-
ScienceDirect http://www.sciencedirect.com/science/book/9780123694928
Format:
Excerpt:
. Analysis of variance -- 13. Linear regression -- 14. Logistic and proportional hazards regression -- 15
by
Partridge, Mark D.
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-- Poverty rates by metropolitan size -- Regression analysis of MSA poverty rates -- Suburban/central county
by
Kahn, Kenneth B.
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modeling -- Composite curve approach -- Key concepts -- Discussion questions -- Regression analysis for new
by
Busch, Kenneth W.
ScienceDirect http://www.sciencedirect.com/science/book/9780444516695
Format:
Excerpt:
-Scale Polarimetry. -- Chapter 12. Chiral Analysis by Regression Modeling of Spectral Data. -- Chapter 13. Electronic
by
Celko, Joe.
ScienceDirect https://www.sciencedirect.com/science/book/9780123695123
Format:
Excerpt:
, and regression trees -- Computer-intensive analysis -- Relationship analytics -- Database
by
Brand, Ludwig.
Format:
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period of human biological clock: infill asymptomatic analysis of harmonic regression parameter estimates
by
Mark, Howard.
ScienceDirect http://www.sciencedirect.com/science/book/9780124725317
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to analysis of variance -- Analysis of variance and statistical design of experiments -- Crossed and
by
Cheung, Hun Ping Rebecca, author.
Format:
Excerpt:
construction of a survey instrument. Exploratory factor analysis, confirmatory factor analysis and Cronbach
by
Massart, Desiré L. (Desiré Luc), 1941-
ScienceDirect, pt. A, ScienceDirect http://www.sciencedirect.com/science/issue/25787-1998-999799999.7998-648930
ScienceDirect, pt. B, ScienceDirect http://www.sciencedirect.com/science/issue/25787-1998-999799999.7997-647953
ScienceDirect http://www.sciencedirect.com/science/book/9780444897244
ScienceDirect http://www.sciencedirect.com/science/book/9780444828538
ScienceDirect, pt. B, ScienceDirect http://www.sciencedirect.com/science/issue/25787-1998-999799999.7997-647953
ScienceDirect http://www.sciencedirect.com/science/book/9780444897244
ScienceDirect http://www.sciencedirect.com/science/book/9780444828538
Format:
Excerpt:
and polynomial regression -- Non-linear regression -- Robust statistics -- Internal method validation
by
Csörgö, M.
ScienceDirect https://www.sciencedirect.com/science/book/9780444500830
Format:
Excerpt:
: Autoregressive and moving average schemes -- -- Part 15: Nonparametric curve estimations, regression diagnostics
by
Deming, Stanley N., 1944-
ScienceDirect http://www.sciencedirect.com/science/book/9780444891112
Format:
Excerpt:
linear models -- An example of regression analysis on existing data -- A ten-experiment example
by
Mark, Howard.
ScienceDirect http://www.sciencedirect.com/science/book/9780124725300
Format:
Excerpt:
Analysis of Variance -- Analysis of Variance and Statistical Design of Experiments -- Crossed and Nested
by
Massart, Desiré L. (Desiré Luc), 1941-
ScienceDirect http://www.sciencedirect.com/science/book/9780444426604
Format:
Excerpt:
-- Information -- Costs -- The time constant -- Signals and data -- Regression methods -- Correlation methods
by
Wherry, Robert J.
ScienceDirect https://www.sciencedirect.com/science/book/9780127460505
Format:
Excerpt:
Regression to Nonlinear Terms; Multiple Regression as a Substitute for Curve Fitting; Multiple Regression as
by
Fisher, Lloyd, 1939-
ScienceDirect https://www.sciencedirect.com/science/book/9780122573507
Format:
Excerpt:
. multiple regression analysis and related matters; regression analysis; multiple regression; partial
by
Hartley, H. O.
ScienceDirect https://www.sciencedirect.com/science/book/9780122047503
Format:
Excerpt:
.C. Applications of time series analysis.--Gentle, J.E. Testing for outliers in linear regression.--David, H.A. and
by
Jones, Ian Shore.
ScienceDirect https://www.sciencedirect.com/science/book/9780080189635
Format:
Excerpt:
characteristics related to handling and stability contribute to road accidents. Using multiple regression analysis
by
Welkowitz, Joan.
ScienceDirect https://www.sciencedirect.com/science/book/9780127432502
ScienceDirect https://www.sciencedirect.com/science/book/9780122450501
ScienceDirect https://www.sciencedirect.com/science/book/9780122450501
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Excerpt:
Coefficient; Prediction and Linear Regression; Measuring Prediction Error: The Standard Error of Estimate
by
Holbrook, Hannah M., author.
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characteristics obtained at the time of first report in 2011. Latent class analysis of referral patterns indicated
by
Fairhurst, Danielle Stein, author.
Format:
Excerpt:
Aggregation Functions LOOKUP Functions Nesting Index and Matching OFFSET Function Regression Analysis Choose
by
Hinton, Qu'Nesha S., author.
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logistic regression analysis showed that patients' CD4 count cut scores at intake made a significant
by
Bonilla, Jennifer C., author.
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Excerpt:
tenets of psychological contract theory, the data analysis was completed using linear regression and a
by
Kellermann, Anh Pham, author.
Format:
Excerpt:
). These MDTs were assessed in the context of regression weight estimates in multiple regression analysis
by
Giles, Janice Marie, author.
Format:
Excerpt:
multiple regression analysis. The results showed that newly designated low-performing schools had lower
by
Storey, James M., author.
Format:
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, Analysis of Variance (ANOVA), and regression analyses to test 15 hypothesis and to answer five research
by
Nuamah, Joseph Kwadwo Gyamfi, author.
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analytical-inducing task in two formats -- graphical and numerical. We used linear Logistic Regression model
by
Majiros, Chad J., author. (orcid)0000-0002-7486-611X
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Survey (FEVS) data (N = 392,752) uses logistic regression analysis to further explore to what extent
by
Lederer, Nirosha Mahendraratnam, author.
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Excerpt:
-concordant antiemetic strategies through a cost-utility analysis in order to prioritize them. Alarmingly, under-use of
by
Cui, Yifan, author.
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We first carry out a comprehensive analysis of survival random forest and tree models and show the
by
Wang, Zhenchuan, author.
Format:
Excerpt:
simulation studies, we compared the performance of AWRR with canonical correlation analysis (CCA), Single
by
Smith, Stephen D., author. (orcid)0000-0003-3633-8655
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models based on regression analysis of Census-based BG data and physiographic variables aggregated to the
by
Wu, Ya-Ke Grace, author.
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, between-groups comparison, Spearman correlation coefficients, and multiple regression analyses were used
by
Luo, Yi, author.
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applied both aspect-based sentiment analysis and the latent aspect rating analysis (LARA) model to predict
by
Peterson, Richard, author.
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before entry and use regression analysis to examine changes in price. Our estimates suggest that taxi
by
Sage, Adam J., author.
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improved comprehension of blood pressure and medication adherence information. Multiple regression analysis
by
Morrison, Cali Marie Koerner, author.
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utilizing ordinary least squares regression analyses, and quantitative content analysis.
by
Saito, Suzue, author.
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, restricting the analysis to a narrow CD4+ cell count range around the regression discontinuity threshold
by
Pettigrew, Jason Melford, author.
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students. The analysis included descriptive statistics, an ANOVA, Pearson's Correlation, and a linear
by
Siuliukina, Nataliia, author.
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regression (SVR) method to create a surrogate model, based on a limited amount of data, capable of describing
by
Khan, Nazia, author.
Format:
Excerpt:
mindset and grit, passion and science grades, and fixed mindset with math grades. A regression analysis
by
Bick, Irene Y., author.
Format:
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. Multivariable logistic regression was used to identify characteristics of dementia patients and hospitalization
by
Chen, Qing, author.
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Drawing on data from 172 Asian-American college students, results of regression analysis confirmed
by
Meier, Cristian L., author.
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secondary data analysis of US households (N = 4,826) that was a nationally representative sample. A series
by
Shields, Emily, author. (orcid)0000-0001-8738-4497
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In a multivariate regression analysis examining gender, race, SES, HEI, TES, and breastfeeding
by
Ma, Xiaonan, author.
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acquisition and shopping patterns. Multivariable linear regression was used to assess the association between
by
Roop, Theodora D., author.
Format:
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. Regression discontinuity analysis between groups indicated that a significant main effect exists for the
by
Harris, Metria, author.
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). Perceived ease of access and perceived cost were identified as the dependent variables using factor analysis
by
Paull, Emily, author.
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required for the supramaximal running bout (linear regression extrapolated from 9x5 min submaximal running
by
Roberts, Alex M., author.
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regression analyses demonstrated support for the predictive validity of the SMOSS and further differentiated
by
Brouwer, Janelle Leann, author.
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participating teachers. Variables for analysis included: gender of the principal, the principal's years at the
by
Cone, Brian Lawrence, author. (orcid)0000-0002-2777-5266
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kinematics collected at 100Hz. Multiple regression and repeated measure analysis of variance models were
by
Fujiwara, Rance James Toshiji, author.
Format:
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This study is a retrospective, cross-sectional analysis using the Healthcare Cost and Utilization
by
Mayton, Heather, author.
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researcher used a multiple regression analysis to answer the research questions. Authenticity, supervision
by
Angeli, Mia, author.
Format:
Excerpt:
regression analysis to determine if age, CYP content, and alcohol or cigarette use could be responsible for
by
Chiang, Jason, author.
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Excerpt:
were analyzed using one-way analysis of variance (ANOVA) and multiple regression techniques. Results
by
Burris, Mecca, author.
Format:
Excerpt:
analysis interprets that for every one unit increase in household food security survey score, the risk of
by
Ilozumba, Mmadili Nancy, author.
Format:
Excerpt:
and tumor tissue samples. Unconditional logistic regression models were used to calculate odds ratios
by
Li, Alvin, author.
Format:
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, p<0.01) but not at baseline (p=0.58). In multiple regression analysis using adherence as outcome
by
Jarolmasjed, Seyedehsanaz, author.
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-based selected features classified the dataset with accuracies of about 80-93%. Regression analysis indicated a
by
Koslicki, Wendy M., author.
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policing as predictors of video themes. Ordinal logistic regression models find a positive relationship
by
Kidanie, Tsion, author.
Format:
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). Analyses included logistic regression adjusted for survey years, socio-demographic, clinical and lifestyle
by
Zubizarreta, Maria Elizabeth, author.
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. Multivariate partial least squares regression was used to determine statistically significant correlations
by
Deng, Yangyang, author. (orcid)0000-0002-7152-7315
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correlation, multiple regression analysis, and canonical correlation analyses were used to examine association
by
Ahmed, Shakil, author.
Format:
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tracking their individual linkages with the stream water quality. Partial least squares regression models
by
Butz, Eric G., author.
Format:
Excerpt:
examined the performance measurement initiatives of five Colorado cities. The empirical analysis relied on
by
Delgado de Leon, Maria Alejandra, author.
Format:
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bivariate regression analysis revealed there was a statistically significant relationship between the number
by
Herrington, Theresa M., author.
Format:
Excerpt:
eligible for retention and those precluded according to legislation. Multiple linear regression analyses
by
Thomas, Joy D., author.
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level. This study was exploratory and quantitative in nature. Logistic regression analysis was used to
by
Cheung, Pui Chi Ginette, author.
Format:
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associated with DASS. Multiple regression showed that two ICQ domains (the ability to provide emotional
by
Jin, Xi, author.
Format:
Excerpt:
). Multiple regression analysis was employed for EE prediction, and a dependent t-test and Chow statistical
by
Anchondo, Teresa Mercedes, author.
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used to evaluate obesity and physical fitness. Linear regression and ANOVA were used for the analyses
by
Blair, Katelyn, author.
Format:
Excerpt:
services-as-usual while accounting for child and parent-level covariates. Second, thematic analysis of
by
Coleman, Cindy L., author.
Format:
Excerpt:
-moment correlation, analysis of variance, and multiple regression were included in the data analyses.
by
Kim, Jayoung, author.
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variables are proposed and tested through two field studies and with within and between analysis (WABA) and
by
Kuchinski-Donnelly, Darlene, author.
Format:
Excerpt:
statistics for online graduate nursing students and each research variable as well as multiple regression
by
Mickelson, Laura A., author.
Format:
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statistical methods were used to summarize the data. Multiple linear regression analysis was used to examine
by
Moen, Marik, author.
Format:
Excerpt:
identify SS subgroups. Logistic and latent class regression were applied to model the relationships of SS
by
Riccardo, Christina, author.
Format:
Excerpt:
education (TB-BF-NE) than non-dietetic professionals (n = 139) (p < 0.001). A regression analysis showed
by
Churchill, Lynn A., author.
Format:
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and multiple linear regression analysis were conducted to test the hypotheses. The results indicated a
by
Yang, Yimin, author.
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Excerpt:
several important econometric methods of analysis for panel data models to multi-level models. In
by
Walker, Danielle A., author.
Format:
Excerpt:
model generated using regression analysis based on the chosen variables was capable of identifying HIV
by
Crippen, Christine M., author.
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employed in Iowa, and standard multiple regression analysis was used to test the hypotheses. Findings
by
Hashemi, Saeed, author.
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) would be driven by average unit headloss. Subsequently, using regression analysis mathematical
by
Paulsson Do, Ulrica, author.
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methods. Foremost, structural equation modelling was used in studies I and II and Poisson regression
by
Otterman, Gabriel, author.
Format:
Excerpt:
prevalence, descriptive statistics, odds ratios, logistic regression and trends in mortality rates
by
Carter, Ayanna N., author.
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Excerpt:
analysis. Outcomes for subgroups of students (gender, grade level, academic level) were also explored. This
by
Hecker, Joseph, author. (orcid)0000-0002-5334-6959
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spectra with respect to radio frequency. This method is shown to enhance the analysis of tissue motion in
by
Adhabi, Essa, author.
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correlative research design, and a multiple regression analysis was conducted on each of the dependent
by
Zvenyach, Tracy Marie, author.
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consumption. Regression analysis showed that for every 1% increase in the proportion of WIC approved foods in
by
Alamri, Manal, author. (orcid)0000-0002-2077-8894
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video game index they created are used in this study. SPSS used in all statistical analysis
by
Kilgore-Nolan, Marquita, author.
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tests, and multivariable regression analysis via SPSS. Aim II utilized in-depth interviewing and
by
Sinclair, David A., author.
Format:
Excerpt:
Multivariate regression analysis identified suites of variables related to springs biodiversity
by
Kerr, Brendan Thomas, author. (orcid)0000-0003-2233-6464
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grouped for analysis as ALAD1-1 and ALAD 1-2/2-2. Our sample included 447 participants who had complete
by
Twardowski, Sarah Elizabeth, author. (orcid)0000-0003-3616-5002
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inclusion in analysis. Multivariable models were adjusted for age, hormone use, frequency of tooth brushing
by
Sweetman, Chlöe A., author.
Format:
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TGF-beta2 concentrations were then statistically measured using linear regression analysis and Bland
by
Van der Munnik, Nicholas, author.
Format:
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concentration. In particular, a regression analysis of the measured data indicates that NP diameter is
by
Lee, Geuntak, author.
Format:
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-specific constitutive analysis. The densification mechanisms of various ceramic (ZrN) and metallic (W and Mo) powders
by
Won, Vera, author.
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regression were used throughout the study after adjusting for age, gender, body mass index, and diabetes
by
Kirsch, Trevor Joseph, author. (orcid)0000-0002-8163-1570
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effects linear and logistic regression models were estimated with the disaggregate time-series information
by
Fleming, Victoria, author.
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, socioeconomic factors, and service utilization rates. Logistic regression analysis was used to examine these
by
Li, Ling, author.
Format:
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increase using a regression discontinuity design. The analysis sample is constructed by matching
by
Canale, Anthony, author.
Format:
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Regression analysis revealed that that time preference measured using an additive scale of
by
Dibie, Chukwuebuka, author.
Format:
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of opioid prescribing for ED and non-ED dental visit events in the study period. Logistic regression
by
Mullol, Ada, author. (orcid)0000-0002-6704-2219
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regression analysis of media coverage and foreign policy changes. In addition, I performed a comparative
by
Bernier, Katherine D'Anna, author.
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resulting adjusted coefficients of determination (R2) from both multi linear regression analysis (0.41-0.42
by
Reeve, Thomas E., author.
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evaluated using logistic regression models. Length of stay (LOS) was evaluated using cox proportional hazard
by
Pokhrel, Jharna, author.
Format:
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-hazard vulnerability analysis was performed for a 5 MW OWT simulation model developed by National Renewable Energy
by
Baniya, Abiral, author.
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approximating the Q-functions. The regression analysis gives the estimates of coefficients associated to each
by
Amato, Shelly C., author.
Format:
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Hierarchical multiple regression analysis was used to determine the effects of light exposure and
by
Jain, Neetu Jitendra, author.
Format:
Excerpt:
tabulations and multivariate logistic regression to create risk estimates using Statistical Analysis System
by
Chen, Qing, author.
Format:
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Drawing on data from 172 Asian-American college students, results of regression analysis confirmed
by
Grant, Bligh.
Format:
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Applicants and Regulators View the NMA Differently? -- Factor Analysis and Regression -- Phase Two
by
Franklin, Rachel S.
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suburbanization -- 4. Results -- 4.1. Regression-based results: The generalizable effects of a context of decline
by
Cleophas, Ton J. author.
Format:
Excerpt:
-Meta-Analyses -- Network Meta-Analysis -- Random Intercepts Meta-Analysis -- Probit Regression -- Meta-Analysis with
by
Bravo Monge, Cris, author. (orcid)0000-0001-8137-4917
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existed. Specifically, regression analysis was first used to identify the significant socioeconomic
by
Dixon-Brown, Shelbie E., author.
Format:
Excerpt:
) analysis was conducted to measure the relationships between the seven predictive variables gender, age
by
Pujasari, Hening, author.
Format:
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Using hierarchical regression analysis, and guided by The University of California San Francisco
by
Emerson, Helen Charlotte, author.
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involvement, Advanced Placement courses and dual enrollment courses for 2013 and 2014. Correlation analysis
by
Abraham, Pranav Samuel, author.
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performed in the analysis. Simple and multiple linear regression models were run to assess the association
by
VanHorn, Pamela G., author.
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. Multiple regression analysis was used to determine if the degree of fidelity of OIP implementation in a
by
Horiuchi, Shoko G., author.
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significant amount of the variance in CF. Furthermore, a hierarchical regression analysis suggested that
by
Chan, Tsz Ying Amy, author.
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process. Regression analysis result also suggested that nonattachment could predict death attitudes to a
by
Edwards, Jeffrey A., author.
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methodology that anyone familiar with regression analysis can employ--a methodology that will yield a model
by
Organization, World Health.
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alternative methods for assessing theburden of disease and agreed on a rigorous new approach using meta-regression
by
James, Jessica, 1968-
Format:
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Methods for Evaluating Exchange Rate Predictability 9. When Are Pooled Panel-Data Regression Forecasts of
by
Shim, Jae K.
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: Quantitative Forecasting.Chapter 16: Regression Analysis: Popular Sales Forecast System.Chapter 17: Cash
by
Li, Guohua.
Format:
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. Geographic Information Systems -- Chapter 25. Spatial Regression -- Chapter 26. Social Network Analysis
by
Stolk, Shaylon Blair, author.
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populations. Regression analysis will be used to study the significant relationship, if any, between sandeel
by
Kéry, Marc, author.
ScienceDirect https://www.sciencedirect.com/science/book/9780123786050
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-- Normal Linear Regression -- Normal One-Way ANOVA -- Normal Two-Way ANOVA -- General Linear Model (ANCOVA
by
Güven, Duygu
Tam Metin PDF (900 KB) http://lib.baskent.edu.tr/tezbaskent/00368.pdf
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determinants on HRQOL were tested by multiple stepwise linear regression analysis. It was found that the gross
by
International Food Policy Research Institute.
ScienceDirect https://www.sciencedirect.com/science/book/9780123747129
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Regression -- Section III: Special Topics on Poverty, Nutrition, and Food Policy Analysis -- Introduction to
by
Goldstein, David William, author.
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. Independent predictors after logistic regression analysis included: impaired functional mobility (OR 1.5 [1.07
by
Serdobolskii, V.
ScienceDirect http://www.sciencedirect.com/science/book/9780444530493
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: estimation of expectation vectors, regression and discriminant analysis, and for the solution to large
by
Ray Chaudhuri, Siladitya, author.
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analysis and compared with the original predictive values. The results show appreciable correlation between
by
Maeder, Marcel.
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by the reader * 'Model-based' analysis (linear and non-linear regression) and 'model-free' analysis
by
Riffenburgh, R. H. (Robert H.)
ScienceDirect http://www.sciencedirect.com/science/book/9780120887705
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treat and to benefit, and regression analysis including stepwise regression and Cox regression Thorough
by
Jetter, K.
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-- Learning theory : from regression to classification -- Coherent states from nonunitary representations.
by
Lestou, Vaia, author.
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participants produced imitative actions of the same morphs, while their movements were measured. Regression
by
Johnson, Michael L., 1947-
Format:
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asynchronous breathing / Michael L. Johnson and Paul Suratt -- Mixed-modelling regression analysis and dealing
by
Jain, S. K. (Sharad Kumar), 1960-
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distributions, parameter estimation, regression and correlation, frequency analysis, and time-series analysis
by
International Conference on Very Large Data Bases (28th : 2002 : Hong Kong, China)
ScienceDirect http://www.sciencedirect.com/science/book/9781558608696
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-- Analyzing Data Streams; Multi-Dimensional Regression Analysis of Time-Series Data Streams; Comparing Data
by
Leonard, James M., author.
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analysis were maps of the data, correlation, regression, and industry profile analysis of the top, middle
by
Walczak, Beata.
Format:
Excerpt:
-based image compression / O. de Vel, D. Coomans, Y. Mallett -- Wavelet analysis and processing of 2-D and 3-D
by
Kokkinos, Konstantinos M., author.
Format:
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' perceptions of 'significant others' and attitudes to school. Principal components analysis revealed 6 valid
by
Warburton, Christopher James, author.
Format:
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regression equations were derived from and for this population of asians. Cigarette smoking and the presence
by
Karjalainen, E. J. (Erkki J.)
Format:
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chromatographic peaks. Principle component analysis is described and used as a useful tool. The main emphasis is a
by
Rutledge, D. N. (Douglas N.)
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processing / Kevin M. Wright -- Analysis of NMR relaxation data / Kenneth P. Whittall -- Nonlinear regression
by
Moser, Barry Kurt.
ScienceDirect https://www.sciencedirect.com/science/book/9780125084659
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examples that are familiar to the student: * design of experiments, analysis of variance, regression, and
by
Parkins, Eric John, author.
Format:
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Sentence Reading Test, The Neale Analysis of Reading Ability, and the British Ability Scales Basic Number
by
Rétháti, László.
ScienceDirect http://www.sciencedirect.com/science/book/9780444989604
Format:
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correlation; 3.5. Evaluation of multivariable relationships; 3.6. Approximative regression analysis; 3.7
by
Krishnaiah, Paruchuri R., editor.
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sampling theory / R.M. Royall -- 16. Sample survey analysis: analysis of variance and contingency tables
by
Shao, Wen Jiao, author.
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regression. By comparing the results derived from the analysis with experimental data, a formula is derived
by
Lamont, Douglas William, author.
Format:
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derived from property purchase registers. The techniques of simple correlation, multiple regression and
by
Preston, Samuel H.
ScienceDirect https://www.sciencedirect.com/science/book/9780125644501
Format:
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; Environmental Factors Associated with Sex Mortality Differentials; Data; Correlation Results; Regression Results
by
Dyke, G. V. (George V.)
ScienceDirect http://www.sciencedirect.com/science/book/9780408705547
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; multidimensional geometry; regression analysis; and analysis of covariance. The text is re.
by
Mrak, E. M. (Emil Marcel), 1901-1987.
ScienceDirect http://www.sciencedirect.com/science/book/9780120164059
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II. Statistics and ResearchIII. Basic Statistical Concepts; IV. Analysis of Variance; V. Regression
by
Yang, Xueying, author.
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multivariate logistic regression models were used for data analysis.
by
Liu, Shule, author.
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variabilities. Using the Panel Data Analysis with Heterogeneous Time Trends, the primary time-relevant variables
by
Kumordzie, Sika Mawunyo, author.
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analysis. Boys were significantly more active (boys vs. girls, 1470 vs. 1314 vector magnitude count, p<0
by
Evans, Caitlin, author.
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variables. A multiple linear regression analysis was conducted to investigate the impact the independent
by
Elias, Maya N., author.
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In multiple regression analysis, SE was significantly and negatively associated with grip strength
by
Heiderscheidt, Judy Marie, author.
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baseline and post-intervention visits were used in a mixed-model repeated measures regression analysis to
by
Dotter, Thomas A., author. (orcid)0000-0001-6994-6871
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, and the dependent variable in the form of a regression analysis.
by
Lambrou, Vassilis, author.
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regression analysis showed that sleep quality (beta = .414, p < .001), vigorous physical activity (beta
by
Helmberger, Maxwell Summit, author.
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significantly lower in soils with fauna than in soils without fauna. In addition, linear regression analysis
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Shea, Tamra L., author.
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statistics, bivariate correlational analysis, and multiple linear regression.
by
Ondeck, Nathaniel Thomas, author.
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Objective 2, when utilizing complete case analysis, only 4,311 patients of the 11,999 patients in the cohort
by
Merchant, Erin K., author.
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researcher utilized a regression analysis to discover that the adoptive mothers' level of emotion coaching
by
Bhalerao, Aditi A., author.
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the analysis of this data and show how regression trees have greater capability to find the patterns
by
Senkpeil, Ryan, author.
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-wise linear regression model. Finally, a structural equation model was created to better understand the direct
by
Sessa, Richard Alan, author.
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Economic Analysis (BEA) to construct a novel dataset linking displaced workers to measures of local labor
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Derpanopoulos, George, author.
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information, the Panama Papers. A thorough regression analysis of almost all dictatorships in the period 2002
by
Cha, Eun Me, author.
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sugary drink consumption through secondary data analysis of School Physical Activity and Nutrition Survey
by
Williams, Devin N., author.
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analysis, chi-square tests, non-parametric Kruskal-Wallis tests, and logistic regression analysis to
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Shirazinejad, Reza Sedaghat, author.
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comparison group, and 3) cross-sectional method using the Negative Binomial (NB) regression model. The
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Burke, Ryan C., author.
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. Descriptive analysis was conducted. Aim 2 consisted of a cross-sectional in-person survey of women immediately
by
Wang, Fang, author.
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regression analysis showed that BMI, biological sex, behavioral beliefs regarding healthy diet and quality of
by
Qadri, Maria Jamal, author.
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matrix analysis of all patient data that yielded similar results as the receiver operator curve analysis
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Maturo, Antonio. editor.
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Orthodox Church -- Methodological Issues for the Analysis of Bullying in Educational Environments
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Kreinovich, Vladik. editor.
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-- International Yield Curve Prediction with Common Functional Principal Component Analysis -- An alternative to p
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Brom, Heather Marie, author.
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practice legislation was created using annual legislative reports and analysis guided by regulatory theory
by
Jeliazkov, Ivan, 1973- editor.
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Statistical Models for Social Network Data 2 1.3 Dynamic Network Logistic Regression with Vertex Dynamics 11 1
by
Hulka, Simon, author.
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influencing red-throated diver breeding performance using modern nest survival analysis with the intention
by
Güner, Meltem
Tam Metin PDF (320 KB) http://lib.baskent.edu.tr/tezbaskent/00325.pdf
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different between the groups with or without morbidity. As a multivariate test, logistic regression analysis
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Kurtboğan, Engin
Tam Metin Pdf (540 kb) http://lib.baskent.edu.tr/tezbaskent/00213.pdf
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-up periods more eyes. Also for this group in the multiple logistic regression analysis, lesion size larger
by
Afşar, Barış
Tam Metin Pdf (723 kb) http://lib.baskent.edu.tr/tezbaskent1/00187.pdf
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regression analysis. In conclusion, HCV infection impairs quality of life especially in mental aspects in
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Elsürer, Rengin
Tam Metin Pdf (768 kb) http://lib.baskent.edu.tr/tezbaskent/00186.pdf
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regression analysis, time of hospital admission (P: 0.002), initial peritoneal neutrophil count (P: 0.011
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Çolak, Dilşen
Tam Metin Pdf (369 kb) http://lib.baskent.edu.tr/tezbaskent1/00215.pdf
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sites of metastasis had no statistical impact on survival.Cox regression analysis also showed number of
by
Özgül, Ali Seydi
Tam metin Pdf (523 kb) http://lib.baskent.edu.tr/tezbaskent/00216.pdf
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, 0.041, <0.001, <0.001, <0.001, <0.003 respectively). Multiple regression analysis revealed cystatin
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İbiş, Avşin
Tam metin Pdf (310 kb) http://lib.baskent.edu.tr/tezbaskent/00158.pdf
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steroid dose were retrospectively recorded. Cox regression analysis was used to asses the risk of
by
Çalıkuşu, Züleyha
Tam metin Pdf (440 kb) http://lib.baskent.edu.tr/tezbaskent/00163.pdf
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.0.13). In Cox regression analysis, among prognostic factors (c-erbB-2, histological subtype, stage
by
Mark, Howard.
ScienceDirect http://www.sciencedirect.com/science/book/9780123740243
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include: matrix algebra, analytic geometry, experimental design, calibration regression, linearity, design
by
Uyar, Murathan
Tam Metin PDF (1 mb) http://lib.baskent.edu.tr/tezbaskent/00065.pdf
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malnutrition. When a multiple lojistic regression analysis was performed to identify the influence of
by
Ulus, Taner
Tam Metin Pdf (380 kb) http://lib.baskent.edu.tr/tezbaskent/00100.pdf
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with MACE-CCU (p.0.050 and 0.002, respectively). In multivariate Cox regression analysis, only baseline
by
Gregoriou, Greg N., 1956-
ScienceDirect http://www.sciencedirect.com/science/book/9780750679756
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underwriting qualitiy in the IPO market: an empirical analysis of competing theories -- Joseph Aharony, Ran
by
Akritas, Michael G.
ScienceDirect https://www.sciencedirect.com/science/book/9780444513786
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; ; Statistical analysis of survival models with Bayesian bootstrap; ; (J. Lee, Y. Kim); ; On optimal variance
by
Mester, Z., editor.
ScienceDirect http://www.sciencedirect.com/science/book/9780444511010
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Statistical evaluation of recovery data -- 3.5 Linear regression -- 3.6 External calibration -- 3.7 Method of
by
Daloğlu, Mehmet
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findings. In regression analysis the explanation levels found are job satisfaction, organizational
by
Custovic, Adnan, author.
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Excerpt:
multivariate regression analysis sensitisation to dust mite, cat, dog and mixed grasses were all independently
by
Tinsley, Howard E. A.
ScienceDirect http://www.sciencedirect.com/science/book/9780126913606
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Results. -- A. Venter and S.E. Maxwell, Issues in the Use and Application of Multiple Regression Analysis
by
Sen, Pranab Kumar, 1937- editor.
ScienceDirect Click for electronic access to e-book.
ScienceDirect http://www.sciencedirect.com/science/book/9780444829009
ScienceDirect http://www.sciencedirect.com/science/handbooks/01697161/18
ScienceDirect http://www.sciencedirect.com/science/book/9780444829009
ScienceDirect http://www.sciencedirect.com/science/handbooks/01697161/18
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procedures in biostatistics / Y. Hochberg and P. Wastfall -- Analysis of longitudinal data / J.M. Singer and
by
Farrell, Graham, author.
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Survey. Using non-linear regression equations, the findings are presented as area 'Revictimisation Curves
by
Rosenberg, Kathryn Ann, author.
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excretion and the various measures of body size, composition and energy expenditure. Regression analysis
by
Hanushek, Eric A. (Eric Alan), 1943-
ScienceDirect http://www.sciencedirect.com/science/book/9780080918570
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Least Squares and Weighted Regression; 6.7 Monte Carlo Simulation of Generalized Least Squares; 6.8
by
Sun, Miaomiao, author.
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regression, by adjusting for potential confounders including socio-demographic characteristics, lifestyles
by
Satapathy, Suresh Chandra. editor.
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Multivariate Adaptive Regression Splines -- Chapter 23. Gray Scale Image Compression Using PSO with Guided
by
Demidenko, Eugene, 1948-
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analysis for linear regression 4909.3 The idea of infinitesimal influence 4939.4 Linear regression model
by
Krüger, Uwe, Dr.
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Time-Varying Processes 7.1 Problem Analysis 7.2 Recursive Principal Component Analysis 7.3 MovingWindow
by
Göktürk, Hüseyin Savaş
Tam Metin Pdf (325 kb) http://lib.baskent.edu.tr/tezbaskent/00116.pdf
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. Multiple lineer regression analysis disclosed that only the ascitic fluid total protein level was
by
Donohue, Karen.
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Individual Decision‐making -- 4.2 Analyzing the Data: Common Empirical Methods -- 4.2.1 Reduced Form Analysis
by
Doumpos, Michael.
Format:
Excerpt:
Multiple Criteria Decision Making 9.1 Introduction 9.2 Generalized Data Envelopment Analysis 9.2.1 Basic
by
Myers, Ralph, 1952-
ScienceDirect http://www.sciencedirect.com/science/book/9780123897602
ScienceDirect https://www.sciencedirect.com/science/book/9780123897602
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, and W.-D. Heiss, Correction for Global Metabolism in FDG PET Brain Images Using Linear Regression and
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