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Regression Diagnostics: An Introduction (Quantitative Applications in the Social Sciences)

Regression Diagnostics: An Introduction (Quantitative Applications in the Social Sciences)

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Author: John Fox
Publisher: Sage Publications, Inc
Category: Book

List Price: $16.95
Buy Used: $11.00
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Media: Paperback
Edition: 1
Number Of Items: 1
Pages: 96
Shipping Weight (lbs): 0.3
Dimensions (in): 8.3 x 5.9 x 0.2

ISBN: 080393971X
Dewey Decimal Number: 519.536
EAN: 9780803939714
ASIN: 080393971X

Publication Date: August 14, 1991
Availability: Usually ships in 1-2 business days
Shipping: Expedited shipping available
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Condition: We select best available book. Used items may have varying degrees of wear, highlighting, etc. May or may not include supplements such as infotrac or other web access codes. Fast reliable delivery. Exceptional customer service. Standard shipping is USPS Standard Mail. Expedited orders for this book will be shipped vis USPS Priority Mail.

Similar Items:

  • Understanding Regression Assumptions (Quantitative Applications in the Social Sciences)
  • Interaction Effects in Multiple Regression (Quantitative Applications in the Social Sciences)
  • Regression with Dummy Variables (Quantitative Applications in the Social Sciences)
  • Applied Regression: An Introduction (Quantitative Applications in the Social Sciences)
  • Logistic Regression: A Primer (Quantitative Applications in the Social Sciences)

Editorial Reviews:

Product Description
p"Its principal themes, sometimes treated independently, include problem-flagging statistics, variable transformations, analytical graphics, and the spirit of Tukey's exploratory data analysis. bRegression Diagnostics/b. . . combines these themes nicely. . . . The volume is . . . an accurate and detailed portrayal, resulting in a valuable contribution. . . . All in all, this volume is highly recommended not only for systems theorists but also for those sociologists and others desiring an accurate portrayal of feedback concepts. The book is careful and comprehensive . . . and generally brings the reader up to date on the feedback literature."/p p--Contemporary Sociology /p p"This excellent, concise, and practical handling of diagnostic methods suffers in no way from its use of social-statistics illustrations. The 80 pages are as good as anything I have seen in promoting, explaining, and illustrating the diagnostic tools for regression."/p p--Technometrics /p pLinear least-squares regression analysis makes very strong assumptions about the structure of data--and, when these assumptions fail to characterize accurately the data at hand, the results of a regression analysis can be seriously misleading. With bRegression Diagnostics/b, researchers now have an accessible explanation of the techniques needed for exploring problems that comprise a regression analysis, and for determining whether certain assumptions appear reasonable. Beginning in Chapter 2 with a review of least-squares linear regression, the book covers such topics as the problem of collinearity in multiple regression, dealing with outlying and influential data, non-normality of errors, non-constant error variance, and the problems and opportunities presented by discrete data. In addition, sophisticated diagnostics based on maximum-likelihood methods, score tests, and constructed variables are introduced. The book concludes with suggestions on how regression diagnostic techniques can be effectively applied in research, and offers advice on implementing these suggestions through the use of standard statistical computer packages. /p


Customer Reviews:

5 out of 5 stars Great condensed reference for diagnostic techniques   May 23, 2007
 3 out of 3 found this review helpful

This book is an ideal, comprehensive short reference for regression diagnostics that has most or all of the techniques in one place. John Fox is the current master guru of regression, and his writings are very authoritative. Very useful desk reference for the practicing statistician, but perhaps not totally accessible to the beginning learner.

Copyright 2007 White Hat Communications.
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