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Applied regression and ANOVA using SAS / Patricia F. Moodie, Dallas E. Johnson.
Author
Moodie, Patricia
[Browse]
Format
Book
Language
English
Εdition
First edition.
Published/Created
Boca Raton : CRC Press, Taylor & Francis Group, 2021.
©2022
Description
xxi, 405 pages : illustrations ; 27 cm
Availability
Available Online
SCI-TECHnetBASE
Taylor & Francis eBooks Complete
Copies in the Library
Location
Call Number
Status
Location Service
Notes
Lewis Library - Stacks
QA278.2 .M656 2021
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Details
Subject(s)
Regression analysis
[Browse]
SAS (Computer program language)
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Author
Johnson, Dallas E., 1938-
[Browse]
Summary note
"Applied Regression and ANOVA Using SAS® has been written specifically for non-statisticians and applied statisticians who are primarily interested in what their data are revealing. Interpretation of results are key throughout this intermediate-level applied statistics book. The authors introduce each method by discussing its characteristic features, reasons for its use, and its underlying assumptions. They then guide readers in applying each method by suggesting a step-by-step approach while providing annotated SAS programs to implement these steps. Those unfamiliar with SAS software will find this book helpful as SAS programming basics are covered in the first chapter. Subsequent chapters give programming details on a need-to-know basis. Experienced as well as entry-level SAS users will find the book useful in applying linear regression and ANOVA methods, as explanations of SAS statements and options chosen for specific methods are provided. Features: Statistical concepts presented in words without matrix algebra and calculus Numerous SAS programs, including examples which require minimum programming effort to produce high resolution publication-ready graphics Practical advice on interpreting results in light of relatively recent views on threshold p-values, multiple testing, simultaneous confidence intervals, confounding adjustment, bootstrapping, and predictor variable selection Suggestions of alternative approaches when a method's ideal inference conditions are unreasonable for one's data This book is invaluable for non-statisticians and applied statisticians who analyze and interpret real-world data. It could be used in a graduate level course for non-statistical disciplines as well as in an applied undergraduate course in statistics or biostatistics"-- Provided by publisher.
Bibliographic references
Includes bibliographical references and index.
ISBN
9781439869512 (hardcover)
1439869510 (hardcover)
9781032244662 (paperback)
1032244666 (paperback)
LCCN
2021051446
OCLC
1287751012
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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Applied regression and ANOVA using SAS / Patricia F. Moodie, Dallas E. Johnson.
id
99126204001706421