Statistical Regression Modeling with R

Statistical Regression Modeling with R
Author : Ding-Geng (Din) Chen
Publisher : Springer Nature
Total Pages : 228
Release : 2021-04-08
ISBN 10 : 9783030675837
ISBN 13 : 3030675831
Language : EN, FR, DE, ES & NL

This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial regression for count data. It then progresses to these regression models that work with longitudinal and multi-level data structures. The volume is designed to guide the transition from classical to more advanced regression modeling, as well as to contribute to the rapid development of statistics and data science. With data and computing programs available to facilitate readers' learning experience, Statistical Regression Modeling promotes the applications of R in linear, nonlinear, longitudinal and multi-level regression. All included datasets, as well as the associated R program in packages nlme and lme4 for multi-level regression, are detailed in Appendix A. This book will be valuable in graduate courses on applied regression, as well as for practitioners and researchers in the fields of data science, statistical analytics, public health, and related fields.

Statistical Regression Modeling with R
Language: en
Pages: 228
Authors: Ding-Geng (Din) Chen
Categories: Mathematics
Type: BOOK - Published: 2021-04-08 - Publisher: Springer Nature

This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear regression for normally distr
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Language: en
Pages: 330
Authors: Adam G. Petrie
Categories:
Type: BOOK - Published: 2015-12-28 - Publisher:

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Language: en
Pages: 372
Authors: Iain Pardoe
Categories: Mathematics
Type: BOOK - Published: 2013-01-07 - Publisher: John Wiley & Sons

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Categories: Computers
Type: BOOK - Published: 2019-02-20 - Publisher: Apress

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Language: en
Pages: 272
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Categories: Mathematical statistics
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Language: en
Pages: 398
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Categories: Mathematics
Type: BOOK - Published: 2009-03-11 - Publisher: Springer Science & Business Media

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Language: en
Pages: 270
Authors: Erick Suárez
Categories: Mathematics
Type: BOOK - Published: 2017-02-28 - Publisher: John Wiley & Sons

A one-stop guide for public health students and practitioners learning the applications of classical regression models in epidemiology This book is written for
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Language: en
Pages: 516
Authors: Norman Matloff
Categories: Business & Economics
Type: BOOK - Published: 2017-09-19 - Publisher: CRC Press

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Language: en
Pages: 679
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Categories: Mathematics
Type: BOOK - Published: 2015-06-29 - Publisher: John Wiley & Sons

Praise for the Fourth Edition "As with previous editions, the authors have produced a leading textbook on regression." —Journal of the American Statistical As