Applied Regression Analysis

Author : Norman R. Draper,Harry Smith
Publisher : John Wiley & Sons
Page : 736 pages
File Size : 52,9 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,Azhar Nizam,Eli S. Rosenberg
Publisher : Cengage Learning
Page : 1074 pages
File Size : 54,7 Mb
Release : 2013-08-30
Category : Mathematics
ISBN : 9781285963754

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Applied Regression Analysis and Other Multivariable Methods by David G. Kleinbaum,Lawrence L. Kupper,Azhar Nizam,Eli S. Rosenberg Pdf

This bestseller will help you learn regression-analysis methods that you can apply to real-life problems. It highlights the role of the computer in contemporary statistics with numerous printouts and exercises that you can solve using the computer. The authors continue to emphasize model development, the intuitive logic and assumptions that underlie the techniques covered, the purposes, advantages, and disadvantages of the techniques, and valid interpretations of those techniques. Available with InfoTrac Student Collections http://gocengage.com/infotrac. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Author : John Fox
Publisher : SAGE Publications
Page : 612 pages
File Size : 54,8 Mb
Release : 2015-03-18
Category : Social Science
ISBN : 9781483321318

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Applied Regression Analysis and Generalized Linear Models by John Fox Pdf

Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as bootstrapping and missing data. Updated throughout, this Third Edition includes new chapters on mixed-effects models for hierarchical and longitudinal data. Although the text is largely accessible to readers with a modest background in statistics and mathematics, author John Fox also presents more advanced material in optional sections and chapters throughout the book. Accompanying website resources containing all answers to the end-of-chapter exercises. Answers to odd-numbered questions, as well as datasets and other student resources are available on the author′s website. NEW! Bonus chapter on Bayesian Estimation of Regression Models also available at the author′s website.

Author : John O. Rawlings,Sastry G. Pantula,David A. Dickey
Publisher : Springer Science & Business Media
Page : 660 pages
File Size : 47,6 Mb
Release : 2006-04-06
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 : John Fox,Sanford Weisberg
Publisher : SAGE Publications
Page : 473 pages
File Size : 54,7 Mb
Release : 2011
Category : Social Science
ISBN : 9781412975148

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An R Companion to Applied Regression by John Fox,Sanford Weisberg Pdf

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.

Author : Norman Richard Draper,Harry Smith
Publisher : John Wiley & Sons
Page : 748 pages
File Size : 44,8 Mb
Release : 1981
Category : Mathematics
ISBN : UOM:39015050394553

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Applied Regression Analysis by Norman Richard Draper,Harry Smith Pdf

New edition of a text offering an accessilbe introduction to the fundamentals of regression analysis. Assuming only a basic knowledge of elementary statistics, it focuses on the fitting and checking of both linear and nonlinear regression models, using small and large data sets, with pocket calculators or computers. Annotation copyrighted by Book News, Inc., Portland, OR.

Author : Jacek Welc,Pedro J. Rodriguez Esquerdo
Publisher : Springer
Page : 286 pages
File Size : 43,6 Mb
Release : 2017-12-29
Category : Business & Economics
ISBN : 9783319711560

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Applied Regression Analysis for Business by Jacek Welc,Pedro J. Rodriguez Esquerdo Pdf

This book offers hands-on statistical tools for business professionals by focusing on the practical application of a single-equation regression. The authors discuss commonly applied econometric procedures, which are useful in building regression models for economic forecasting and supporting business decisions. A significant part of the book is devoted to traps and pitfalls in implementing regression analysis in real-world scenarios. The book consists of nine chapters, the final two of which are fully devoted to case studies. Today's business environment is characterised by a huge amount of economic data. Making successful business decisions under such data-abundant conditions requires objective analytical tools, which can help to identify and quantify multiple relationships between dozens of economic variables. Single-equation regression analysis, which is discussed in this book, is one such tool. The book offers a valuable guide and is relevant in various areas of economic and business analysis, including marketing, financial and operational management.

Author : Christer Thrane
Publisher : Routledge
Page : 192 pages
File Size : 41,6 Mb
Release : 2019-10-16
Category : Business & Economics
ISBN : 9780429813030

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Applied Regression Analysis by Christer Thrane Pdf

This book is an introduction to regression analysis, focusing on the practicalities of doing regression analysis on real-life data. Contrary to other textbooks on regression, this book is based on the idea that you do not necessarily need to know much about statistics and mathematics to get a firm grip on regression and perform it to perfection. This non-technical point of departure is complemented by practical examples of real-life data analysis using statistics software such as Stata, R and SPSS. Parts 1 and 2 of the book cover the basics, such as simple linear regression, multiple linear regression, how to interpret the output from statistics programs, significance testing and the key regression assumptions. Part 3 deals with how to practically handle violations of the classical linear regression assumptions, regression modeling for categorical y-variables and instrumental variable (IV) regression. Part 4 puts the various purposes of, or motivations for, regression into the wider context of writing a scholarly report and points to some extensions to related statistical techniques. This book is written primarily for those who need to do regression analysis in practice, and not only to understand how this method works in theory. The book’s accessible approach is recommended for students from across the social sciences.

Author : Terry E. Dielman
Publisher : South-Western Pub
Page : 496 pages
File Size : 47,5 Mb
Release : 2005
Category : Mathematics
ISBN : 053446548X

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Applied Regression Analysis by Terry E. Dielman Pdf

APPLIED REGRESSION ANALYSIS applies regression to real data and examples while employing commercial statistical and spreadsheet software. Covering the core regression topics as well as optional topics including ANOVA, Time Series Forecasting, and Discriminant Analysis, the text emphasizes the importance of understanding the assumptions of the regression model, knowing how to validate a selected model for these assumptions, knowing when and how regression might be useful in a business setting, and understanding and interpreting output from statistical packages and spreadsheets.

Author : Richard J. Brook,Gregory C. Arnold
Publisher : Routledge
Page : 148 pages
File Size : 47,5 Mb
Release : 2018-12-13
Category : Mathematics
ISBN : 9781351465885

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Applied Regression Analysis and Experimental Design by Richard J. Brook,Gregory C. Arnold Pdf

For a solid foundation of important statistical methods, the 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 and 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 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 texts for courses Regression, Experimental Design, and Linear Models in a broad range of disciplines. Moreover, applied statisticians will find the book a useful reference for the general application of the linear model.

Author : Kleinbaum,Kupper,Muller
Publisher : Unknown
Page : 128 pages
File Size : 45,7 Mb
Release : 1988-01-01
Category : Electronic
ISBN : 0534915248

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Applied Regression Analysis and Other Multivariable Methods by Kleinbaum,Kupper,Muller Pdf

Author : Andrew Gelman,Jennifer Hill
Publisher : Cambridge University Press
Page : 654 pages
File Size : 43,6 Mb
Release : 2007
Category : Mathematics
ISBN : 052168689X

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Data Analysis Using Regression and Multilevel/Hierarchical Models by Andrew Gelman,Jennifer Hill Pdf

This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.

Author : John Fox,Sanford Weisberg
Publisher : SAGE Publications
Page : 505 pages
File Size : 43,9 Mb
Release : 2018-09-27
Category : Social Science
ISBN : 9781544336459

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An R Companion to Applied Regression by John Fox,Sanford Weisberg Pdf

An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis. John Fox and Sanford Weisberg provide a step-by-step guide to using the free statistical software R, an emphasis on integrating statistical computing in R with the practice of data analysis, coverage of generalized linear models, and substantial web-based support materials. The Third Edition has been reorganized and includes a new chapter on mixed-effects models, new and updated data sets, and a de-emphasis on statistical programming, while retaining a general introduction to basic R programming. The authors have substantially updated both the car and effects packages for R for this edition, introducing additional capabilities and making the software more consistent and easier to use. They also advocate an everyday data-analysis workflow that encourages reproducible research. To this end, they provide coverage of RStudio, an interactive development environment for R that allows readers to organize and document their work in a simple and intuitive fashion, and then easily share their results with others. Also included is coverage of R Markdown, showing how to create documents that mix R commands with explanatory text. "An R Companion to Applied Regression continues to provide the most comprehensive and user-friendly guide to estimating, interpreting, and presenting results from regression models in R." –Christopher Hare, University of California, Davis

Author : Iain Pardoe
Publisher : John Wiley & Sons
Page : 372 pages
File Size : 47,7 Mb
Release : 2013-01-07
Category : Mathematics
ISBN : 9781118345047

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Applied Regression Modeling by Iain Pardoe Pdf

Praise for the First Edition "The attention to detail is impressive. The book is very well written and the author is extremely careful with his descriptions . . . the examples are wonderful." —The American Statistician Fully revised to reflect the latest methodologies and emerging applications, Applied Regression Modeling, Second Edition continues to highlight the benefits of statistical methods, specifically regression analysis and modeling, for understanding, analyzing, and interpreting multivariate data in business, science, and social science applications. The author utilizes a bounty of real-life examples, case studies, illustrations, and graphics to introduce readers to the world of regression analysis using various software packages, including R, SPSS, Minitab, SAS, JMP, and S-PLUS. In a clear and careful writing style, the book introduces modeling extensions that illustrate more advanced regression techniques, including logistic regression, Poisson regression, discrete choice models, multilevel models, and Bayesian modeling. In addition, the Second Edition features clarification and expansion of challenging topics, such as: Transformations, indicator variables, and interaction Testing model assumptions Nonconstant variance Autocorrelation Variable selection methods Model building and graphical interpretation Throughout the book, datasets and examples have been updated and additional problems are included at the end of each chapter, allowing readers to test their comprehension of the presented material. In addition, a related website features the book's datasets, presentation slides, detailed statistical software instructions, and learning resources including additional problems and instructional videos. With an intuitive approach that is not heavy on mathematical detail, Applied Regression Modeling, Second Edition is an excellent book for courses on statistical regression analysis at the upper-undergraduate and graduate level. The book also serves as a valuable resource for professionals and researchers who utilize statistical methods for decision-making in their everyday work.

Author : Terry E. Dielman
Publisher : South Western Educational Publishing
Page : 600 pages
File Size : 41,9 Mb
Release : 1996
Category : Business & Economics
ISBN : UVA:X002762364

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Applied Regression Analysis for Business and Economics by Terry E. Dielman Pdf

Disk includes: Data sets for the exercises in the text, formatted in ASCII, MINITAB, SAS, Microsoft Excel, and STATA form and accessible to any statistical software package.