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Regression Using JMP
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
* 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.
Thorough discussion of the following is also
* 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.
288 pages, Paperback
First published June 11, 2003
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