Regression Using JMP

Rudolf J. Freund, Ramon C. Littell, Lee Creighton

260 pages, parution le 02/02/2004

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Résumé

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.

L'auteur - 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 System for Regression, Third Edition; Regression Methods; SAS System for Linear Models, Third Edition; Statistical Methods; and Regression Analysis. Dr. Freund has been a SAS user since 1972 and is a former SUGI chairman.

L'auteur - 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 System for Regression, Third Edition; SAS System for Linear Models, Third Edition; SAS System for Mixed Models; and SAS 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.

L'auteur - 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 Start Statistics.

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Sommaire

Using This Book
Regression Concepts
Regressions in JMP
Observations
Collinearity: Detection and Remedial Measures
Polynomial and Smoothing Models
Special Applications of Linear Models
Nonlinear Models
Regression with JMP Scripting Language
References
Index

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Rudolf J. Freund, Ramon C. Littell, Lee Creighton
Parution	02/02/2004
Nb. de pages	260
Format	19 x 23
Couverture	Broché
Poids	485g
Intérieur	Noir et Blanc
EAN13	9780471483076