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

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

9781475771558: Applied Regression Analysis: A Research Tool (Springer Texts in Statistics)

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ISBN 10: 147577155X ISBN 13: 9781475771558

Verlag: Springer, 2013

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Least squares methods is an essential statistical technique in many areas including the life sciences, environmental sciences, and agriculture. This book provides the background necssary to understand the important concepts of regression analysis without becoming excessively mathematical.

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Verlag: Springer
Erscheinungsdatum: 2013
Sprache: Englisch
ISBN 10: 147577155X
ISBN 13: 9781475771558
Einband: Taschenbuch
Anzahl der Seiten: 680
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Applied Regression Analysis: A Research Tool (Springer Texts in Statistics)

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

Verlag: Springer, 2013

ISBN 10: 147577155X ISBN 13: 9781475771558

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Applied Regression Analysis : A Research Tool

Sastry G. Pantula

Verlag: Springer, 2013

ISBN 10: 147577155X ISBN 13: 9781475771558

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Taschenbuch. 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. 9781475771558

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