Applied Regression Analysis: A Research Tool (Springer Texts in Statistics)

Rawlings, John O.; Pantula, Sastry G.; Dickey, David A.

ISBN 10: 0387984542 ISBN 13: 9780387984544
Verlag: Springer, 1998
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In English. Bestandsnummer des Verkäufers ria9780387984544_new

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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.

Von der hinteren Coverseite: Aimed at the scientist who wishes to gain a working knowledge of regression analysis, the basic purpose of this volume is to develop an understanding of least squares and related statistical methods without becoming excessively mathematical. It is neither a cookbook nor a theoretical book. It is the outgrowth of more than 30 years of consulting experience with scientists and many years of teaching applied regression courses to graduate students in the sciences. Applied Regression Analysis serves as an excellent text for a service course on regression for nonstatisticians and also as a reference for researchers. It also provides a bridge between a two-semester introduction to statistical methods and a theoretical linear models course.

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Titel: Applied Regression Analysis: A Research Tool...
Verlag: Springer
Erscheinungsdatum: 1998
Einband: Hardcover
Zustand: New
Auflage: 2. Auflage

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Rawlings, John O.
Verlag: Springer, 1998
ISBN 10: 0387984542 ISBN 13: 9780387984544
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Zustand: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1350grams, ISBN:9780387984544. Artikel-Nr. 9790570

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ISBN 10: 0387984542 ISBN 13: 9780387984544
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Buch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 682 pp. Englisch. Artikel-Nr. 9780387984544

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John O. Rawlings
Verlag: Springer New York, 1998
ISBN 10: 0387984542 ISBN 13: 9780387984544
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9780387984544

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