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Subject: Statistics.

Author

Addo, Evans Dapaa, author.

(1)

Bose, Koushiki, author.

(1)

Chao, Jeffrey, author.

(1)

Cohen, Michael L.

(1)

Cornell University. Natural Resources. degree granting institution.

(1)

Dalal, Siddhartha R.

(1)

Dodou, Dimitra. author.

(1)

East Tennessee State University. degree granting institution.

(1)

Jones, Stephanie, author.

(1)

Kansas State University. Department of Statistics. degree granting institution.

(1)

Khan, Najam, author.

(1)

Kowalik, Dave Matthew, author. (orcid)0000-0002-3263-1849

(1)

Massachusetts Institute of Technology. degree granting institution.

(1)

Mawella, Nadeesha R., author.

(1)

National Research Council (U.S.). Oversight Committee for the Workshop on Statistical Methods in Software Engineering for Defense Systems.

(1)

Pham, Minh H., author.

(1)

(1)

Princeton University. Operations Research and Financial Engineering. degree granting institution.

(1)

ProQuest (Firm)

(1)

Saeedi, Ardavan, author.

(1)

South Dakota State University. Construction & Operations Management. degree granting institution.

(1)

SpringerLink (Online service)

(1)

University of California, Los Angeles. Statistics 0891. degree granting institution.

(1)

University of South Carolina. Statistics. degree granting institution.

(1)

University of South Florida. Mathematics and Statistics. degree granting institution.

(1)

de Winter, Joost C.F. author.

(1)

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Aquatic sciences.

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Artificial intelligence.

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Bioinformatics.

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Biometrics (Biology).

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Computer science.

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Control engineering.

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Control, Robotics, Mechatronics.

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Electronic books.

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Engineering design.

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Engineering ethics.

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Operations research.

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Pharmaceutical sciences.

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Software engineering -- Statistical methods.

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Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

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User Interfaces and Human Computer Interaction.

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User interfaces (Computer systems).

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Başkent Library

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Proquest E-Thesis Collection

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Cover image for Innovations in software engineering for defense systems

Innovations in software engineering for defense systems

1.

Innovations in software engineering for defense systems

by

National Research Council (U.S.). Oversight Committee for the Workshop on Statistical Methods in Software Engineering for Defense Systems.

Format:

Excerpt:

Innovations in software engineering for defense systems National Research Council (U.S.). Oversight

Cover image for Latent Variable Models for Understanding User Behavior in Software Applications

Latent Variable Models for Understanding User Behavior in Software Applications

2.

Latent Variable Models for Understanding User Behavior in Software Applications

by

Saeedi, Ardavan, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10902470

Format:

Excerpt:

Latent Variable Models for Understanding User Behavior in Software Applications / Saeedi, Ardavan

Cover image for Performance Comparison of Imputation Algorithms on Missing at Random Data

Performance Comparison of Imputation Algorithms on Missing at Random Data

3.

Performance Comparison of Imputation Algorithms on Missing at Random Data

by

Addo, Evans Dapaa, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10904504

Format:

Excerpt:

linear regression; linear regression, non Bayesian) in the MICE package in the statistical software, R

Cover image for The South Carolina Safety Belt Study: Large-scale Location Sampling

The South Carolina Safety Belt Study: Large-scale Location Sampling

4.

The South Carolina Safety Belt Study: Large-scale Location Sampling

by

Jones, Stephanie, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10786545

Format:

Excerpt:

different software packages were utilized: R, SAS, and ArcGIS. The steps that were taken and the written

Cover image for Evaluating the Use of Various Distance Metrics For Assessing a Model's Wildfire Prediction Performance

Evaluating the Use of Various Distance Metrics For Assessing a Model's Wildfire Prediction Performance

5.

Evaluating the Use of Various Distance Metrics For Assessing a Model's Wildfire Prediction Performance

by

Chao, Jeffrey, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10830099

Format:

Excerpt:

predicted perimeters generated by the FARSITE fire prediction software. By doing so, we are able to

Cover image for Signal Detection of Adverse Drug Reaction using the Adverse Event Reporting System: Literature Review and Novel Methods

Signal Detection of Adverse Drug Reaction using the Adverse Event Reporting System: Literature Review and Novel Methods

6.

Signal Detection of Adverse Drug Reaction using the Adverse Event Reporting System: Literature Review and Novel Methods

by

Pham, Minh H., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10785863

Format:

Excerpt:

was proposed by DuMouchel in 2013 but has not been made available in any public software package. A

Cover image for Human Subject Research for Engineers A Practical Guide

Human Subject Research for Engineers A Practical Guide

7.

Human Subject Research for Engineers A Practical Guide

by

de Winter, Joost C.F. author.

http://dx.doi.org/10.1007/978-3-319-56964-2

Format:

Excerpt:

include human-computer interaction (e.g., evaluating the usability of software), exoskeletons, virtual

Cover image for Robust Dependence-adjusted Methods for High Dimensional Data

Robust Dependence-adjusted Methods for High Dimensional Data

8.

Robust Dependence-adjusted Methods for High Dimensional Data

by

Bose, Koushiki, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10815651

Format:

Excerpt:

selection for high dimensional sparse regression in the presence of correlated covariates. The software

Cover image for A Robust Test of Homogeneity in Zero-Inflated Models for Count Data

A Robust Test of Homogeneity in Zero-Inflated Models for Count Data

9.

A Robust Test of Homogeneity in Zero-Inflated Models for Count Data

by

Mawella, Nadeesha R., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10793896

Format:

Excerpt:

efforts in a routine statistical software such as SAS. Dental caries data from the Detroit Dental Health

Cover image for Location Optimization of a Coal Power Plant to Balance Coal Supply and Electric Transmission Costs against Plant's Emission Exposure

Location Optimization of a Coal Power Plant to Balance Coal Supply and Electric Transmission Costs against Plant's Emission Exposure

10.

Location Optimization of a Coal Power Plant to Balance Coal Supply and Electric Transmission Costs against Plant's Emission Exposure

by

Khan, Najam, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10811076

Format:

Excerpt:

spanning tree for electric transmission lines and coal transportation were validated using R-software.

Cover image for The Relative Contribution of Hudson River Tributaries to River Herring Spawning Dynamics

The Relative Contribution of Hudson River Tributaries to River Herring Spawning Dynamics

11.

The Relative Contribution of Hudson River Tributaries to River Herring Spawning Dynamics

by

Kowalik, Dave Matthew, author. (orcid)0000-0002-3263-1849

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10815919

Format:

Excerpt:

Perfection V19 flatbed scanner and ImageJ software allowed for fecundity analysis. Standardized river herring

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