Applied Regression Analysis

Author: Norman R. Draper,Harry Smith

Publisher: John Wiley & Sons

ISBN: 1118625684

Category: Mathematics

Page: 736

View: 586

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.
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Applied Regression Analysis and Generalized Linear Models

Author: John Fox

Publisher: SAGE Publications

ISBN: 1483321312

Category: Social Science

Page: 816

View: 5663

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.
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Applied Regression Analysis

A Research Tool

Author: John O. Rawlings,Sastry G. Pantula,David A. Dickey

Publisher: Springer Science & Business Media

ISBN: 0387227539

Category: Mathematics

Page: 660

View: 9205

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.
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Applied Regression Analysis in Econometrics

Author: Howard E. Doran

Publisher: CRC Press

ISBN: 9780824780494

Category: Technology & Engineering

Page: 392

View: 6024

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
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Applied Regression Analysis and Experimental Design

Author: Richard J Brook

Publisher: Routledge

ISBN: 1351465880

Category: Mathematics

Page: 256

View: 4022

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.
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Applied Regression Analysis, Linear Models, and Related Methods

Author: John Fox

Publisher: SAGE

ISBN: 9780803945401

Category: Social Science

Page: 597

View: 5247

An accessible, detailed, and up-to-date treatment of regression analysis, linear models, and closely related methods is provided in this book. Incorporating nearly 200 graphs and numerous examples and exercises that employ real data from the social sciences, the book begins with a consideration of the role of statistical data analysis in social research. It then moves on to cover the following topics: graphical methods for examining and transforming data; linear least-squares regression; dummy-variables regression; analysis of variance; diagnostic methods for discovering whether a linear model fit to data adequately represents the data; extensions to linear least squares, including logit and probit models, time-series regression, nonlinear
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Applied Regression Analysis for Business and Economics

Author: Terry E. Dielman

Publisher: Duxbury Resource Center

ISBN: 9780534265861

Category: Analyse de régression

Page: 575

View: 9565

This book's use of real data in examples and exercises helps students gain practical insights into regression and forecasting concepts. It is intended for the regression analysis course for students of business and economics or as a second course in business statistics found in schools of business or in departments of statistics and economics. (Prerequisites: college algebra and introductory business statistics.) The author includes: -- Use of the computer as the primary method of analysis with a focus on the interpretation of regression output -- Integration of cross-sectional models with time-series models throughout -- A data disk containing relevant data from examples and exercises, formatted for major statistical packages -- Many exercises that require interpretation and build on previously learned concepts -- Instructions for both Minitab RM (Release 10 for Windows RM) and SAS in new Using the Computer sections in each chapter -- An introduction to discriminant analysis and logistic regression in Chapter 9 (Qualitative Dependent Variables) -- A separate chapter covering analysis of variance topics to allow flexibility of coverage -- Data sets with real data from journals and actual business settings
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Applied Regression Analysis and Other Multivariable Methods

Author: David G. Kleinbaum,Lawrence L. Kupper,Azhar Nizam,Eli S. Rosenberg

Publisher: Cengage Learning

ISBN: 128596375X

Category: Mathematics

Page: 1072

View: 5808

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.
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Student Solutions Manual for Kleinbaum's Applied Regression Analysis and Other Multivariable Methods, 5th

Author: David G. Kleinbaum,Lawrence L. Kupper,Azhar Nizam,Eli S. Rosenberg

Publisher: Cengage Learning

ISBN: 1305848535

Category: Mathematics

Page: 160

View: 1728

The SSM features worked solutions to select problems in Applied Regression Analysis and Other Multivariable Methods, 5. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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Applied Regression Analysis and Multivariable Methods

Author: CTI Reviews

Publisher: Cram101 Textbook Reviews

ISBN: 1467285781

Category: Education

Page: 61

View: 3894

Facts101 is your complete guide to Applied Regression Analysis and Multivariable Methods. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.
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Applied Regression Analysis for Business

Tools, Traps and Applications

Author: Jacek Welc,Pedro J. Rodriguez Esquerdo

Publisher: Springer

ISBN: 3319711563

Category: Business & Economics

Page: 286

View: 7097

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.
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Applied Regression Analysis and Other Multivariable Methods

Author: David Kleinbaum,Lawrence Kupper,Azhar Nizam,Keith Muller

Publisher: Cengage Learning

ISBN: 0495384968

Category: Mathematics

Page: 928

View: 8761

This bestseller is known for its modern, practical approach to regression-analysis methods that students will find applicable to real-life problems. APPLIED REGRESSION ANALYSIS AND MULTIVARIABLE METHODS highlights the role of the computer in contemporary statistics with numerous printouts and exercises that can be solved with 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. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
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Applied Regression Analysis

Author: Dielman

Publisher: Brooks/Cole Publishing Company

ISBN: 9780534265885

Category:

Page: 575

View: 2761

Contains solutions to selected problems in the text.
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Applied Regression Analysis

A Second Course in Business and Economic Statistics

Author: Terry E. Dielman

Publisher: South-Western Pub

ISBN: 9780534465483

Category: Mathematics

Page: 496

View: 1462

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.
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An R Companion to Applied Regression

Author: John Fox,Sanford Weisberg

Publisher: SAGE Publications

ISBN: 1544336462

Category: Social Science

Page: 608

View: 2466

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 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 new edition, and include coverage of RStudio and R Markdown.
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Applied Regression Analysis and Experimental Design

Author: Brook

Publisher: CRC Press

ISBN: 9780824772529

Category: Mathematics

Page: 256

View: 4598

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.
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Applied Regression Analysis, A Second Course in Business and Economic Statistics

Author: CTI Reviews

Publisher: Cram101 Textbook Reviews

ISBN: 146729697X

Category: Education

Page: 55

View: 3963

Facts101 is your complete guide to Applied Regression Analysis, A Second Course in Business and Economic Statistics. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.
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Applied Regression

An Introduction

Author: Colin Lewis-Beck,Michael Lewis-Beck

Publisher: SAGE Publications

ISBN: 1483381498

Category: Social Science

Page: 120

View: 8405

Known for its readability and clarity, this Second Edition of the best-selling Applied Regression provides an accessible introduction to regression analysis for social scientists and other professionals who want to model quantitative data. After covering the basic idea of fitting a straight line to a scatter of data points, the text uses clear language to explain both the mathematics and assumptions behind the simple linear regression model. Authors Colin Lewis-Beck and Michael Lewis-Beck then cover more specialized subjects of regression analysis, such as multiple regression, measures of model fit, analysis of residuals, interaction effects, multicollinearity, and prediction. Throughout the text, graphical and applied examples help explain and demonstrate the power and broad applicability of regression analysis for answering scientific questions.
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