Statistical Methods

William J. Wilson

Rudolf J. Freund

Academic Press

Regression Analysis

Ping Sa

Experienced SAS System users will find this an invaluable guide to SAS procedures for performing regression analyses. Simple and multiple variable models are discussed as well as polynomial models, log-linear models, spline functions, and restricted linear models. With this book you will become a pro at using various MODEL statement options with the REG procedure and creating data sets with the OUTPUT statement, detecting multicollinearity and combating its effects,and fitting a growth curve with the NLIN procedure. 
Supports releases 6.07 and higher of SAS software.

SAS System for Regression, Second Edition

Computers & Technology

Software

SAS Inst

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 authors 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, examples using JMP scripting language, polynomial and smoothing models, regression in the context of linear model methodology, and diagnosis of and remedies for data problems including outliers and collinearity. Statistical consultants familiar with regression analysis and 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 how to use JMP successfully for data analysis.

Regression Using JMP

Lee Creighton

Ramon C. Littell

Computer Science

SAS Publishing

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Books by Rudolf J. Freund