This set contains: 9780471416647 SAS System for Regression by Rudolf Freund, Ramon Little and 9780471970330 Applied Regression Modeling: A Business Approach, Third Edition by Iain Pardoe

SAS System for Regression + Applied Regression Modeling: A Business Approach, Third Edition Set

Science & Math

Freund, Rudolf

Littell, Ramon

Pardoe, Iain

Mathematics

Wiley-Interscience

This set contains: 9780471483076 SAS Regression Using JMP(r) by Rudolf Freund, Ramon Littell, Lee Creighton and 9780471210771 Experimental Design by Thomas P. Ryan.

SAS Regression Using JMP Set + Modern Experimental Design Set

Ryan, Thomas P.

Creighton, Lee

This set contains: 9780471221746 SAS for Linear Models, Fourth Edition by Ramon Littell, Walter W. Stroup, Rudolf Freund and 9780471754985 Linear Models in Statistics, Second Edition by Alvin C. Rencher, G. Bruce Shaalje.

SAS System for Linear Models, 4e + Linear Models in Statistics, 2e Set

Rencher, Alvin C.

Schaalje, G. Bruce

Stroup, Walter W.

Features and capabilities of the REG, ANOVA, and GLM procedures are included in this introduction to analysing linear models with the SAS System. This guide shows how to apply the appropriate procedure to data analysis problems and understand PROC GLM output. Other helpful guidelines and discussions cover the following significant areas: Multivariate linear models; lack-of-fit analysis; covariance and heterogeneity of slopes; a classification with both crossed and nested effects; and analysis of variance for balanced data. This fourth edition includes updated examples, new software-related features, and new material, including a chapter on generalised linear models. Version 8 of the SAS System was used to run the SAS code examples in the book. * Provides clear explanations of how to use SAS to analyse linear models * Includes numerous SAS outputs * Includes new chapter on generalised linear models * Uses version 8 of the SAS system This book assists data analysts who use SAS/STAT software to analyse data using regression analysis and analysis of variance. It assumes familiarity with basic SAS concepts such as creating SAS data sets with the DATA step and manipulating SAS data sets with the procedures in base SAS software.

SAS for Linear Models

WA (Wiley-SAS)

This book describes how to use the SAS System to perform a wide variety of different regression analyses, such as using various models as well as diagnosing data problems. Topics include performing linear regression analyses using PROC REG; diagnosing and providing remedies for data problems including outliers and multicollinearity; using regression to fit a variety of different models, including nonlinear models; using SAS/INSIGHT software for performing regression analysis. Examples feature many SAS procedures including REG, PLOT, GPLOT, NLIN, RSREG, AUTOREG, PRINCOMP, and others.

SAS(r) System for Regression, 3rd Edition

Computers & Technology

Software

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.

Regression Using JMP

Learn to perform a wide variety of regression analyses using SAS software with this example-driven revised favorite from SAS Publishing. With this third edition you will learn the basics of performing regression analyses using a wide variety of models including nonlinear models. Other topics include performing linear regression analyses using PROC REG and diagnosing and providing remedies for data problems, including outliers and multicollinearity. Examples feature numerous SAS procedures including REG, PLOT, GPLOT, NLIN, RSREG, AUTOREG, PRINCOMP, and others. A helpful discussion of theory is supplied where necessary. Some knowledge of both regression and SAS are assumed. The updated third edition includes revisions, updated material, and new material. You'll find information on using SAS/INSIGHT software, regression with a binary response with emphasis on PROC LOGISTIC, and nonparametric regression (smoothing) using moving averages and PROC LOESS. Additionally, updated material throughout the book includes high-resolution PROC REG graphics output, data sets by the OUTEST option described and illustrated, and using PROC SCORE to predict another data set.

SAS System for Regression, Third Edition (Wiley Series in Probability and Statistics)

Operating Systems

SAS Institute

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