Regression and ANOVA: An Integrated Approach Using SAS Software + Applied Statistics: Analysis of Variance and Regression, Third Edition Set

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Publisher : Wiley-Interscience
ISBN 13 : 9780470388037
Total Pages : 0 pages
Book Rating : 4.3X/5 ( download)

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Book Synopsis Regression and ANOVA: An Integrated Approach Using SAS Software + Applied Statistics: Analysis of Variance and Regression, Third Edition Set by : Keith E. Muller

Download or read book Regression and ANOVA: An Integrated Approach Using SAS Software + Applied Statistics: Analysis of Variance and Regression, Third Edition Set written by Keith E. Muller and published by Wiley-Interscience. This book was released on 2008-03-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This set contains: 9780471469438 Regression and ANOVA: An Integrated Approach Using SAS(R) Software by Keith E. Muller, Bethel A. Fetterman and 9780471370383 Applied Statistics: Analysis of Variance and Regression, Third Edition by Ruth M. Mickey, Olive Jean Dunn, Virginia A. Clark.

Regression and ANOVA

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Publisher : Wiley-SAS
ISBN 13 :
Total Pages : 582 pages
Book Rating : 4.95/5 ( download)

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Book Synopsis Regression and ANOVA by : Keith E. Muller

Download or read book Regression and ANOVA written by Keith E. Muller and published by Wiley-SAS. This book was released on 2003-06-03 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: Muller and Fetterman (U. of N. Carolina, Chapel Hill) developed this text for use in "Intermediate Linear Models," a graduate level biostatistics class at UNC, covering basic theory, multiple regression, model building and evaluation, ANOVA, and universal tools. The text uses sets of real data, and contains almost no proofs. Ideal prerequisites for use include a matrix algebra class, an undergraduate introduction to mathematical statistics, basic programming skills in the statistical package used in the course (data input, data transformation, and analysis), and basic skills in linear models. Annotation (c)2003 Book News, Inc., Portland, OR (booknews.com).

Applied Regression and ANOVA Using SAS

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Publisher : CRC Press
ISBN 13 : 0429527039
Total Pages : 490 pages
Book Rating : 4.36/5 ( download)

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Book Synopsis Applied Regression and ANOVA Using SAS by : Patricia F. Moodie

Download or read book Applied Regression and ANOVA Using SAS written by Patricia F. Moodie and published by CRC Press. This book was released on 2022-06-07 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Regression and ANOVA Using SAS® has been written specifically for non-statisticians and applied statisticians who are primarily interested in what their data are revealing. Interpretation of results are key throughout this intermediate-level applied statistics book. The authors introduce each method by discussing its characteristic features, reasons for its use, and its underlying assumptions. They then guide readers in applying each method by suggesting a step-by-step approach while providing annotated SAS programs to implement these steps. Those unfamiliar with SAS software will find this book helpful as SAS programming basics are covered in the first chapter. Subsequent chapters give programming details on a need-to-know basis. Experienced as well as entry-level SAS users will find the book useful in applying linear regression and ANOVA methods, as explanations of SAS statements and options chosen for specific methods are provided. Features: •Statistical concepts presented in words without matrix algebra and calculus •Numerous SAS programs, including examples which require minimum programming effort to produce high resolution publication-ready graphics •Practical advice on interpreting results in light of relatively recent views on threshold p-values, multiple testing, simultaneous confidence intervals, confounding adjustment, bootstrapping, and predictor variable selection •Suggestions of alternative approaches when a method’s ideal inference conditions are unreasonable for one’s data This book is invaluable for non-statisticians and applied statisticians who analyze and interpret real-world data. It could be used in a graduate level course for non-statistical disciplines as well as in an applied undergraduate course in statistics or biostatistics.

Data Analysis

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Publisher :
ISBN 13 : 9781138819825
Total Pages : 0 pages
Book Rating : 4.24/5 ( download)

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Book Synopsis Data Analysis by : Charles M. Judd

Download or read book Data Analysis written by Charles M. Judd and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Noted for its model-comparison approach and unified framework based on the general linear model (GLM), this classic text provides readers with a greater understanding of a variety of statistical procedures including analysis of variance (ANOVA) and regression.

SAS System for Regression

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Publisher : SAS Press
ISBN 13 : 9781580257251
Total Pages : 0 pages
Book Rating : 4.59/5 ( download)

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Book Synopsis SAS System for Regression by : Rudolf Jakob Freund

Download or read book SAS System for Regression written by Rudolf Jakob Freund and published by SAS Press. This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Analysis

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Publisher : Routledge
ISBN 13 : 1317591216
Total Pages : 366 pages
Book Rating : 4.14/5 ( download)

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Book Synopsis Data Analysis by : Charles M. Judd

Download or read book Data Analysis written by Charles M. Judd and published by Routledge. This book was released on 2017-05-18 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond is an integrated treatment of data analysis for the social and behavioral sciences. It covers all of the statistical models normally used in such analyses, such as multiple regression and analysis of variance, but it does so in an integrated manner that relies on the comparison of models of data estimated under the rubric of the general linear model. Data Analysis also describes how the model comparison approach and uniform framework can be applied to models that include product predictors (i.e., interactions and nonlinear effects) and to observations that are nonindependent. Indeed, the analysis of nonindependent observations is treated in some detail, including models of nonindependent data with continuously varying predictors as well as standard repeated measures analysis of variance. This approach also provides an integrated introduction to multilevel or hierarchical linear models and logistic regression. Finally, Data Analysis provides guidance for the treatment of outliers and other problematic aspects of data analysis. It is intended for advanced undergraduate and graduate level courses in data analysis and offers an integrated approach that is very accessible and easy to teach. Highlights of the third edition include: a new chapter on logistic regression; expanded treatment of mixed models for data with multiple random factors; updated examples; an enhanced website with PowerPoint presentations and other tools that demonstrate the concepts in the book; exercises for each chapter that highlight research findings from the literature; data sets, R code, and SAS output for all analyses; additional examples and problem sets; and test questions.

Applied Statistics

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Publisher :
ISBN 13 : 9780761861713
Total Pages : 0 pages
Book Rating : 4.18/5 ( download)

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Book Synopsis Applied Statistics by : Bayo Lawal

Download or read book Applied Statistics written by Bayo Lawal and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a thorough treatment of the methods of regression and analysis of variance. Applied Statistics requires an understanding of introductory statistics courses and is suitable for both junior and senior undergraduate students.

Practical Data Analysis with JMP, Third Edition

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Publisher : SAS Institute
ISBN 13 : 1642956120
Total Pages : 510 pages
Book Rating : 4.22/5 ( download)

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Book Synopsis Practical Data Analysis with JMP, Third Edition by : Robert Carver

Download or read book Practical Data Analysis with JMP, Third Edition written by Robert Carver and published by SAS Institute. This book was released on 2019-10-18 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the concepts and techniques of statistical analysis using JMP Practical Data Analysis with JMP, Third Edition, highlights the powerful interactive and visual approach of JMP to introduce readers to statistical thinking and data analysis. It helps you choose the best technique for the problem at hand by using real-world cases. It also illustrates best-practice workflow throughout the entire investigative cycle, from asking valuable questions through data acquisition, preparation, analysis, interpretation, and communication of findings. The book can stand on its own as a learning resource for professionals, or it can be used to supplement a college-level textbook for an introductory statistics course. It includes varied examples and problems using real sets of data. Each chapter typically starts with an important or interesting research question that an investigator has pursued. Reflecting the broad applicability of statistical reasoning, the problems come from a wide variety of disciplines, including engineering, life sciences, business, and economics, as well as international and historical examples. Application Scenarios at the end of each chapter challenge you to use your knowledge and skills with data sets that go beyond mere repetition of chapter examples. New in the third edition, chapters have been updated to demonstrate the enhanced capabilities of JMP, including projects, Graph Builder, Query Builder, and Formula Depot.

An R Companion to Applied Regression

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Publisher : SAGE Publications
ISBN 13 : 141297514X
Total Pages : 473 pages
Book Rating : 4.48/5 ( download)

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Book Synopsis An R Companion to Applied Regression by : John Fox

Download or read book An R Companion to Applied Regression written by John Fox and published by SAGE Publications. This book was released on 2011 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide a broad introduction to the R statistical environment in the context of applied regression analysis, which is typically studied by social scientists and others in a second course in applied statistics.

Statistics II

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Publisher :
ISBN 13 : 9781590477748
Total Pages : 0 pages
Book Rating : 4.4X/5 ( download)

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Book Synopsis Statistics II by : Jill Tao

Download or read book Statistics II written by Jill Tao and published by . This book was released on 2005 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This course explains techniques for performing multiple and polynomial regression analysis and analysis of variance using SAS software. It also covers Poisson regression, gamma regression, analysis of covariance, and linear mixed models.