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OverviewFilled 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. Full Product DetailsAuthor: Rudolf Freund , Ramon Littell , Lee CreightonPublisher: John Wiley and Sons Ltd Imprint: John Wiley & Sons Inc Dimensions: Width: 19.10cm , Height: 1.70cm , Length: 22.90cm Weight: 0.483kg ISBN: 9780471483076ISBN 10: 0471483079 Pages: 288 Publication Date: 28 August 2003 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Out of Stock Indefinitely Availability: Awaiting stock ![]() Table of ContentsAcknowledgments. 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.Reviews?for a new JMP user, this book should certainly jump-start the process of using JMP effectively. (Technometrics, August 2004, Vol. 46, No. 3) ...for a new JMP user, this book should certainly jump-start the process of using JMP effectively. (Technometrics, August 2004, Vol. 46, No. 3) Author InformationRudolf 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. 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. 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. Tab Content 6Author Website:Countries AvailableAll regions |