Regression Using JMP
Published on 28. August 2003
Book
Paperback/Softback
288 pages
978-0-471-48307-6 (ISBN)
Description
Filled with examples, "Regression Using JMP" introduces you to the basics of regression analysis using JMP software. You will learn how to perform regression analyses using a wide variety of models including linear and nonlinear models. Taking a tutorial approach, the author cover the customary Fit Y by X and Fit Model platforms, as well as the new features and capabilities of JMP Version 5, Output is covered in helpful detail. Thorough discussion of the following is also presented: confidence limits polynomial and smoothing models examples using JMP scripting language regression in the context of linear model methodology diagnosis of and remedies for data problems including outliers and collinearity.Statistical consultants familiar with regression analysis and with basic JMP concepts will appreciate the conversational, 'what to look for' and 'what if' scenarios presented. Non-Statisticians with a working knowledge of statistical concepts will learn to use JMP successfully for each analysis.
Reviews / Votes
"...for a new JMP user, this book should certainly jump-start the process of using JMP effectively." (Technometrics, August 2004, Vol. 46, No. 3)More details
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
Professional and scholarly
Dimensions
Height: 229 mm
Width: 191 mm
Thickness: 17 mm
Weight
483 gr
ISBN-13
978-0-471-48307-6 (9780471483076)
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Schweitzer Classification
Persons
Rudolf J. Freund, Ph.D., former associate director and cofounder of the Department of Statistics at Texas A&M University, is now professor emeritus, Dr. Freund received an M.A. degree in economics from the University of Chicago in 1951 and a Ph.D. in statistics from North Carolina State College in 1955. He has coauthored several impressive books, including SAS(r) System for Regression, Third Edition; Regression Methods; SAS(r) System for Linear Models, Third Edition; Statistical Methods; and Regression Analysis. Dr. Freund has been a SAS(r) user since 1972 and is a former SUGI chairman. Ramon C. Littell, Ph.D., is professor of statistics at the University of Florida, where he teaches applied statistics and serves as consulting statistician in the Institute of Food and Agricultural Sciences. Dr. Littell is coauthor of SAS(r) System for Regression, Third Edition; SAS(r) System for Linear Models, Third Edition; SAS(r) System for Mixed Models; and SAS(r) System for Elementary Statistical Analysis, Second Edition. He is also widely published in statistical and applied journals. A SAS user since 1972, Dr. Littell has served as SUGI chairman and is a Fellow of the American Statistical Association. Lee Creighton, Ph.D., is the documentation manager for the JMP division at SAS institute. He received his undergraduate degrees in mathematics education from North Carolina State University. His interest include the methods of teaching statistics and the applications of statistics to education measurement. Prior to working at SAS, Dr. Creighton taught high school and collegiate mathematics in North Carolina. He is coauthor of JMP(r) Start Statistics.
Content
Acknowledgments. Using This Book. 1. Regression Concepts. 2. Regressions in JMP. 3. Observations. 4. Collinearity: Detection and Remedial Measures. 5. Polynomial and Smoothing Models. 6. Special Applications of Linear Models. 7. Nonlinear Models. 8. Regression with JMP Scripting Language. References. Index.