Full Product Details
Author: Olga Korosteleva
Publisher: Taylor & Francis Ltd
Imprint: Chapman & Hall/CRC
Weight: 0.453kg
ISBN: 9780367732424
ISBN 10: 0367732424
Pages: 324
Publication Date: 18 December 2020
Audience:
College/higher education
,
General/trade
,
Tertiary & Higher Education
,
General
Format: Paperback
Publisher's Status: Active
Availability: In Print
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Reviews
"""This book can be summarized as a cookbook of various types of regression model and their implementations using SAS and R statistical software. The chapters follow a specific pattern of presentation, starting with a brief introduction to the theory behind a technique, followed by the SAS and R implementations... At the end of each chapter there are exercise problems that interested readers and students would find useful. The book also has a companion website with all the data in CSV format, while a solutions manual to the exercise problems is available for instructors... This book is unique in the sense that it provides recipes for almost all types of regression model. The author intelligently avoids much about the theory but does not ignore it altogether. The theory is presented at a minimum level and in an amount that is necessary for those interested... It should be especially useful for R users who will find all of the various packages that are needed for these regression models."" - Enayet Raheem, ISCB December 2019"
This book can be summarized as a cookbook of various types of regression model and their implementations using SAS and R statistical software. The chapters follow a specific pattern of presentation, starting with a brief introduction to the theory behind a technique, followed by the SAS and R implementations... At the end of each chapter there are exercise problems that interested readers and students would find useful. The book also has a companion website with all the data in CSV format, while a solutions manual to the exercise problems is available for instructors... This book is unique in the sense that it provides recipes for almost all types of regression model. The author intelligently avoids much about the theory but does not ignore it altogether. The theory is presented at a minimum level and in an amount that is necessary for those interested... It should be especially useful for R users who will find all of the various packages that are needed for these regression models. - Enayet Raheem, ISCB December 2019
Author Information
Olga Korosteleva is an associate professor of statistics in the Department of Mathematics and Statistics at California State University, Long Beach (CSULB). She received a Ph.D. in statistics from Purdue University.
