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Regression Analysis: Theory, Methods, and Applications (Lecture Notes in Statistics)

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Synopses & Reviews

Publisher Comments:

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

Book News Annotation:

Text for an advanced undergraduate or graduate level course in any of a number of fields requires a first course in mathematical statistics, the ability to use statistical computer packages, and familiarity with calculus and linear algebra.
Annotation c. Book News, Inc., Portland, OR (booknews.com)

Synopsis:

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.

Description:

Includes bibliographical references (p. [327]-335) and indexes.

Table of Contents

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:

Product Details

ISBN:
9780387972114
Author:
Sen, Ashish K.
Author:
Srivastava, M. S.
Author:
Srivastava, Muni
Author:
Sen, Ashish
Publisher:
Springer
Location:
New York, NY
Subject:
Chemistry - General
Subject:
Statistics
Subject:
Applied
Subject:
Regression analysis
Subject:
Probability & Statistics - General
Subject:
Statistical Theory and Methods
Subject:
Mathematics | Probability and Statistics
Subject:
B
Subject:
mathematics and statistics
Subject:
Mathematical statistics
Copyright:
Edition Number:
4
Edition Description:
1st ed. 1990. 3rd corr. printing
Series:
Springer Texts in Statistics
Series Volume:
no. 3. Pt. 1-
Publication Date:
19900713
Binding:
Paperback
Language:
English
Illustrations:
Yes
Pages:
364
Dimensions:
24 cm. +

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Related Subjects

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Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Regression Analysis: Theory, Methods, and Applications (Lecture Notes in Statistics) New Hardcover
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Product details 364 pages Springer-Verlag - English 9780387972114 Reviews:
"Synopsis" by , 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.
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