Primer Of Applied Regression Analysis Of Variance 3e

Author : Stanton A. Glantz,Bryan K. Slinker,Torsten B. Neilands
Publisher : McGraw Hill Professional
Page : 1212 pages
File Size : 48,5 Mb
Release : 2016-02-22
Category : Medical
ISBN : 9780071822442

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Primer of Applied Regression & Analysis of Variance 3E by Stanton A. Glantz,Bryan K. Slinker,Torsten B. Neilands Pdf

A textbook on the use of advanced statistical methods in healthcare sciences Primer of Applied Regression & Analysis of Variance is a textbook especially created for medical, public health, and social and environmental science students who need applied (not theoretical) training in the use of statistical methods. The book has been acclaimed for its user-friendly style that makes complicated material understandable to readers who do not have an extensive math background. The text is packed with learning aids that include chapter-ending summaries and end-of-chapter problems that quickly assess mastery of the material. Examples from biological and health sciences are included to clarify and illustrate key points. The techniques discussed apply to a wide range of disciplines, including social and behavioral science as well as health and life sciences. Typical courses that would use this text include those that cover multiple linear regression and ANOVA. Four completely new chapters Completely updated software information and examples

Author : Stanton A. Glantz,Bryan K. Slinker
Publisher : McGraw Hill Professional
Page : 980 pages
File Size : 43,7 Mb
Release : 2012-09-01
Category : Medical
ISBN : 9780071811835

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Primer of Applied Regression & Analysis of Variance by Stanton A. Glantz,Bryan K. Slinker Pdf

Applicable for all statistics courses or practical use, teaches how to understand more advanced multivariate statistical methods, as well as how to use available software packages to get correct results. Study problems and examples culled from biomedical research illustrate key points. New to this edition: broadened coverage of ANOVA (traditional analysis of variance), the addition of ANCOVA (analysis of Co-Variance); updated treatment of available statistics software; 2 new chapters (Analysis of Variance Extensions and Mixing Regression and ANOVA: ANCOVA).

Author : S. A. Glantz,B. K. Blinker
Publisher : Unknown
Page : 128 pages
File Size : 48,5 Mb
Release : 1989
Category : Electronic
ISBN : OCLC:64609532

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Primer of Regression and Analysis of Variance by S. A. Glantz,B. K. Blinker Pdf

Author : Peter Vik
Publisher : SAGE Publications
Page : 344 pages
File Size : 41,7 Mb
Release : 2013-01-14
Category : Social Science
ISBN : 9781483316017

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Regression, ANOVA, and the General Linear Model by Peter Vik Pdf

Peter Vik's Regression, ANOVA, and the General Linear Model: A Statistics Primer demonstrates basic statistical concepts from two different perspectives, giving the reader a conceptual understanding of how to interpret statistics and their use. The two perspectives are (1) a traditional focus on the t-test, correlation, and ANOVA, and (2) a model-comparison approach using General Linear Models (GLM). This book juxtaposes the two approaches by presenting a traditional approach in one chapter, followed by the same analysis demonstrated using GLM. By so doing, students will acquire a theoretical and conceptual appreciation for data analysis as well as an applied practical understanding as to how these two approaches are alike.

Author : Brook
Publisher : CRC Press
Page : 256 pages
File Size : 46,9 Mb
Release : 1985-04-25
Category : Mathematics
ISBN : 0824772520

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Applied Regression Analysis and Experimental Design by Brook Pdf

For a solid foundation of important statistical methods, this concise, single-source text unites linear regression with analysis of experiments and provides students with the practical understanding needed to apply theory in real data analysis problems. Stressing principles while keeping computational and theoretical details at a manageable level, Applied Regression Analysis and Experimental Design features an emphasis on vector geometry of least squares to unify and provide an intuitive basis for most topics covered ... abundant examples and exercises using real-life data sets clearly illustrating practical problems of data analysis ... essential exposure to Minitab and Genstat computer packages, including computer printouts ... and important background material such as vector and matrix properties and the distributional properties of quadratic forms. Designed to make theory work for students, this clearly written, easy-to-understand work serves as the ideal text for courses in Regression, Experimental Design, and Linear Models in a broad range of disciplines. Moreover, applied statisticians, biometricians, and research workers in applied statistics will find the book a useful reference for the general application of the linear model. Book jacket.

Author : John O. Rawlings,Sastry G. Pantula,David A. Dickey
Publisher : Springer Science & Business Media
Page : 671 pages
File Size : 45,7 Mb
Release : 2006-03-31
Category : Mathematics
ISBN : 9780387227535

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Applied Regression Analysis by John O. Rawlings,Sastry G. Pantula,David A. Dickey Pdf

Least squares estimation, when used appropriately, is a powerful research tool. A deeper understanding of the regression concepts is essential for achieving optimal benefits from a least squares analysis. This book builds on the fundamentals of statistical methods and provides appropriate concepts that will allow a scientist to use least squares as an effective research tool. Applied Regression Analysis is aimed at the scientist who wishes to gain a working knowledge of regression analysis. The basic purpose of this book is to develop an understanding of least squares and related statistical methods without becoming excessively mathematical. It is the outgrowth of more than 30 years of consulting experience with scientists and many years of teaching an applied regression course to graduate students. Applied Regression Analysis serves as an excellent text for a service course on regression for non-statisticians and as a reference for researchers. It also provides a bridge between a two-semester introduction to statistical methods and a thoeretical linear models course. Applied Regression Analysis emphasizes the concepts and the analysis of data sets. It provides a review of the key concepts in simple linear regression, matrix operations, and multiple regression. Methods and criteria for selecting regression variables and geometric interpretations are discussed. Polynomial, trigonometric, analysis of variance, nonlinear, time series, logistic, random effects, and mixed effects models are also discussed. Detailed case studies and exercises based on real data sets are used to reinforce the concepts. The data sets used in the book are available on the Internet.

Author : Ronald Christensen
Publisher : CRC Press
Page : 608 pages
File Size : 42,5 Mb
Release : 1996-06-01
Category : Mathematics
ISBN : 0412062917

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Analysis of Variance, Design, and Regression by Ronald Christensen Pdf

This text presents a comprehensive treatment of basic statistical methods and their applications. It focuses on the analysis of variance and regression, but also addressing basic ideas in experimental design and count data. The book has four connecting themes: similarity of inferential procedures, balanced one-way analysis of variance, comparison of models, and checking assumptions. Most inferential procedures are based on identifying a scalar parameter of interest, estimating that parameter, obtaining the standard error of the estimate, and identifying the appropriate reference distribution. Given these items, the inferential procedures are identical for various parameters. Balanced one-way analysis of variance has a simple, intuitive interpretation in terms of comparing the sample variance of the group means with the mean of the sample variance for each group. All balanced analysis of variance problems are considered in terms of computing sample variances for various group means. Comparing different models provides a structure for examining both balanced and unbalanced analysis of variance problems and regression problems. Checking assumptions is presented as a crucial part of every statistical analysis. Examples using real data from a wide variety of fields are used to motivate theory. Christensen consistently examines residual plots and presents alternative analyses using different transformation and case deletions. Detailed examination of interactions, three factor analysis of variance, and a split-plot design with four factors are included. The numerous exercises emphasize analysis of real data. Senior undergraduate and graduate students in statistics and graduate students in other disciplines using analysis of variance, design of experiments, or regression analysis will find this book useful.

Author : Paul D. Allison
Publisher : Pine Forge Press
Page : 230 pages
File Size : 49,8 Mb
Release : 1999
Category : Mathematics
ISBN : 0761985336

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Multiple Regression by Paul D. Allison Pdf

"Presenting topics in the form of questions and answers, this popular supplemental text offers a brief introduction on multiple regression on a conceptual level. Author Paul D. Allison answers the most essential questions (such as how to read and interpret multiple regression tables and how to critique multiple regression results) in the early chapters, and then tackles the less important ones (for instance, those arising from multicollinearity) in the later chapters."--Pub. desc.

Author : John Neter,William Wasserman
Publisher : Irwin Professional Publishing
Page : 864 pages
File Size : 51,9 Mb
Release : 1974
Category : Mathematics
ISBN : MINN:31951000001549M

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Applied Linear Statistical Models by John Neter,William Wasserman Pdf

Some basic results in probability and statistics. Basic regression analysis. General regression and correlation analysis. Basic analysis of variance. Multifactor analysis of variance. Experimental designs.

Author : Norman R. Draper,Harry Smith
Publisher : John Wiley & Sons
Page : 736 pages
File Size : 55,8 Mb
Release : 2014-08-25
Category : Mathematics
ISBN : 9781118625682

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Applied Regression Analysis by Norman R. Draper,Harry Smith Pdf

An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis. Assuming only a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear and nonlinear regression models, using small and large data sets, with pocket calculators or computers. This Third Edition features separate chapters on multicollinearity, generalized linear models, mixture ingredients, geometry of regression, robust regression, and resampling procedures. Extensive support materials include sets of carefully designed exercises with full or partial solutions and a series of true/false questions with answers. All data sets used in both the text and the exercises can be found on the companion disk at the back of the book. For analysts, researchers, and students in university, industrial, and government courses on regression, this text is an excellent introduction to the subject and an efficient means of learning how to use a valuable analytical tool. It will also prove an invaluable reference resource for applied scientists and statisticians.

Author : David G. Kleinbaum,Lawrence L. Kupper
Publisher : PWS Publishing Company
Page : 584 pages
File Size : 52,6 Mb
Release : 1978
Category : Mathematics
ISBN : UOM:39015004390020

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Applied Regression Analysis and Other Multivariable Methods by David G. Kleinbaum,Lawrence L. Kupper Pdf

Author : Douglas C. Montgomery,Elizabeth A. Peck,G. Geoffrey Vining
Publisher : John Wiley & Sons
Page : 749 pages
File Size : 48,7 Mb
Release : 2013-06-06
Category : Mathematics
ISBN : 9781118627365

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Introduction to Linear Regression Analysis by Douglas C. Montgomery,Elizabeth A. Peck,G. Geoffrey Vining Pdf

Praise for the Fourth Edition "As with previous editions, the authors have produced a leading textbook on regression." —Journal of the American Statistical Association A comprehensive and up-to-date introduction to the fundamentals of regression analysis Introduction to Linear Regression Analysis, Fifth Edition continues to present both the conventional and less common uses of linear regression in today’s cutting-edge scientific research. The authors blend both theory and application to equip readers with an understanding of the basic principles needed to apply regression model-building techniques in various fields of study, including engineering, management, and the health sciences. Following a general introduction to regression modeling, including typical applications, a host of technical tools are outlined such as basic inference procedures, introductory aspects of model adequacy checking, and polynomial regression models and their variations. The book then discusses how transformations and weighted least squares can be used to resolve problems of model inadequacy and also how to deal with influential observations. The Fifth Edition features numerous newly added topics, including: A chapter on regression analysis of time series data that presents the Durbin-Watson test and other techniques for detecting autocorrelation as well as parameter estimation in time series regression models Regression models with random effects in addition to a discussion on subsampling and the importance of the mixed model Tests on individual regression coefficients and subsets of coefficients Examples of current uses of simple linear regression models and the use of multiple regression models for understanding patient satisfaction data. In addition to Minitab, SAS, and S-PLUS, the authors have incorporated JMP and the freely available R software to illustrate the discussed techniques and procedures in this new edition. Numerous exercises have been added throughout, allowing readers to test their understanding of the material. Introduction to Linear Regression Analysis, Fifth Edition is an excellent book for statistics and engineering courses on regression at the upper-undergraduate and graduate levels. The book also serves as a valuable, robust resource for professionals in the fields of engineering, life and biological sciences, and the social sciences.

Author : Sanford Weisberg
Publisher : John Wiley & Sons
Page : 284 pages
File Size : 46,7 Mb
Release : 2013-11-25
Category : Mathematics
ISBN : 9781118594858

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Applied Linear Regression by Sanford Weisberg Pdf

Praise for the Third Edition "...this is an excellent book which could easily be used as a course text..." —International Statistical Institute The Fourth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology of linear regression modeling. Demonstrating the practical applications of linear regression analysis techniques, the Fourth Edition uses interesting, real-world exercises and examples. Stressing central concepts such as model building, understanding parameters, assessing fit and reliability, and drawing conclusions, the new edition illustrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. While maintaining the accessible appeal of each previous edition,Applied Linear Regression, Fourth Edition features: Graphical methods stressed in the initial exploratory phase, analysis phase, and summarization phase of an analysis In-depth coverage of parameter estimates in both simple and complex models, transformations, and regression diagnostics Newly added material on topics including testing, ANOVA, and variance assumptions Updated methodology, such as bootstrapping, cross-validation binomial and Poisson regression, and modern model selection methods Applied Linear Regression, Fourth Edition is an excellent textbook for upper-undergraduate and graduate-level students, as well as an appropriate reference guide for practitioners and applied statisticians in engineering, business administration, economics, and the social sciences.

Author : Howard E. Doran
Publisher : CRC Press
Page : 400 pages
File Size : 48,6 Mb
Release : 1989-04-24
Category : Technology & Engineering
ISBN : 0824780493

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Applied Regression Analysis in Econometrics by Howard E. Doran Pdf

A textbook for a one-semester course for advanced undergraduate and graduate students in economics. Covers regression techniques in the context of single equation econometric models, featuring MINITAB and SHAZAM software examples for attacking real-world problems. Annotation copyright Book News, Inc

Author : Jeremy Miles,Mark Shevlin
Publisher : SAGE
Page : 266 pages
File Size : 55,7 Mb
Release : 2001-03-08
Category : Mathematics
ISBN : 0761962301

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Applying Regression and Correlation by Jeremy Miles,Mark Shevlin Pdf

Takes a look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach.