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Regression Analysis

  • Fester Einband
  • 348 Seiten
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An up-to-date, rigorous, and lucid treatment of the theory, methods, and applications of regression analysis, and thus ideally sui... Weiterlesen
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Beschreibung

An up-to-date, rigorous, and lucid treatment of the theory, methods, and applications of regression analysis, and thus ideally suited for those interested in the theory as well as those whose interests lie primarily with applications. It is further enhanced through real-life examples drawn from many disciplines, showing the difficulties typically encountered in the practice of regression analysis. Consequently, this book provides a sound foundation in the theory of this important subject.

Klappentext

This book gives an up-to-date, rigorous, and lucid treatment of the theory, methods, and applications of regression analysis. It is ideally suited for those interested in the theory of regression analysis as well as to those whose interests lie primarily with applications. It is further enhanced through real-life examples drawn from many disciplines showing the difficulties typically encountered in the practice of the craft of regression analysis. Consequently, this book provides a sound foundation in the theory of this important subject. "I found this to be the most complete and up-to-date regression text I have come across...this text has much to offer." Journal of the American Statistical Association "The material is presented in a lucid and easy-to-understand style...can be ranked as one of the best textbooks on regression in the market." Mathematical Reviews "...a successful mix of theory and practice...It will serve nicely to teach both the logic behind regression and the data-analytic use of regression." SIAM Review TOC:Contents: Introduction: Multiple Regression: Tests and Confidence Regions: Indicator Variables: The Normality Assumption: Unequal Variances: Correlated Errors: Outliers and Influential Observations: Transformations: Multicollinearity: Variable Selection: Biased Estimation:

Inhalt

Contents: Introduction: Multiple Regression: Tests and Confidence Regions: Indicator Variables: The Normality Assumption: Unequal Variances: Correlated Errors: Outliers and Influential Observations: Transformations: Multicollinearity: Variable Selection: Biased Estimation:

Produktinformationen

Titel: Regression Analysis
Untertitel: Theory, Methods, and Applications
Autor:
EAN: 9780387972114
ISBN: 978-0-387-97211-4
Format: Fester Einband
Herausgeber: Springer, Berlin
Genre: Mathematik
Anzahl Seiten: 348
Gewicht: 699g
Größe: H23mm x B241mm x T161mm
Jahr: 1997
Auflage: 1st ed. 1990. 3rd corr. printing 1997

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