Applied Regression Analysis
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Applied Regression Analysis
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Author : Norman R. Draper
language : en
Publisher: John Wiley & Sons
Release Date : 1998-04-23
Applied Regression Analysis written by Norman R. Draper and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-04-23 with Mathematics categories.
Ein Hauptziel wissenschaftlicher Forschung ist das Auffinden von Beziehungen zwischen Variablen. Die Regressionsrechnung ist ein allgemein gebräuchliches statistisches Mittel zur Erstellung von mathematischen Modellen aus Forschungsdaten. Die 3. Auflage wurde um 16 neue Kapitel erweitert; die Grundlagen der Regressionsrechnung werden, ausgehend von klassischen Konzepten, präzise erklärt. Mit vielen Übungsaufgaben und Lösungen sowie einer Diskette. (06/98)
Applied Regression Analysis And Generalized Linear Models
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Author : John Fox
language : en
Publisher: SAGE Publications
Release Date : 2015-03-18
Applied Regression Analysis And Generalized Linear Models written by John Fox and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-18 with Social Science categories.
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.
Applied Regression Analysis For Business
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Author : Jacek Welc
language : en
Publisher: Springer
Release Date : 2017-12-29
Applied Regression Analysis For Business written by Jacek Welc and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-29 with Business & Economics categories.
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.
Applied Regression Analysis For Business And Economics
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Author : Terry E. Dielman
language : en
Publisher: South Western Educational Publishing
Release Date : 1996
Applied Regression Analysis For Business And Economics written by Terry E. Dielman and has been published by South Western Educational Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Business & Economics categories.
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.
Applied Regression Analysis In Econometrics
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Author : Howard E. Doran
language : en
Publisher: CRC Press
Release Date : 1989-04-24
Applied Regression Analysis In Econometrics written by Howard E. Doran and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-04-24 with Technology & Engineering categories.
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
Applied Regression Analysis And Other Multivariable Methods
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Author : David G. Kleinbaum
language : en
Publisher: Brooks/Cole
Release Date : 1978
Applied Regression Analysis And Other Multivariable Methods written by David G. Kleinbaum and has been published by Brooks/Cole this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Mathematics categories.
Applied Regression Analysis
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Author : Norman Richard Draper
language : en
Publisher:
Release Date : 1966
Applied Regression Analysis written by Norman Richard Draper and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1966 with Mathematical statistics categories.
This book provides a standard, basic course in multiple linear regression, but it also includes material that either has not previously appeared in a textbook or, if it has appeared, is not generally available.
Applied Regression Analysis And Experimental Design
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Author : Brook
language : en
Publisher: CRC Press
Release Date : 1985-04-25
Applied Regression Analysis And Experimental Design written by Brook and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985-04-25 with Mathematics categories.
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.
Applied Regression Analysis
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Author : John O. Rawlings
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-31
Applied Regression Analysis written by John O. Rawlings and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-31 with Mathematics categories.
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.
Primer Of Applied Regression Analysis Of Variance
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Author : Stanton Glantz
language : en
Publisher: McGraw-Hill Education / Medical
Release Date : 2000-11-15
Primer Of Applied Regression Analysis Of Variance written by Stanton Glantz and has been published by McGraw-Hill Education / Medical this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-11-15 with Medical categories.
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).