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    Lois Leveen 9781476757445

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Applied Logistic Regression: Solutions Manual (Wiley Series in Probability and Statistics)

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Applied Logistic Regression: Solutions Manual (Wiley Series in Probability and Statistics) Cover

 

Synopses & Reviews

Publisher Comments:

From the reviews of the First Edition.

"An interesting, useful, and well-written book on logistic regression models . . . Hosmer and Lemeshow have used very little mathematics, have presented difficult concepts heuristically and through illustrative examples, and have included references."

Choice

"Well written, clearly organized, and comprehensive . . . the authors carefully walk the reader through the estimation of interpretation of coefficients from a wide variety of logistic regression models . . . their careful explication of the quantitative re-expression of coefficients from these various models is excellent."

Contemporary Sociology

"An extremely well-written book that will certainly prove an invaluable acquisition to the practicing statistician who finds other literature on analysis of discrete data hard to follow or heavily theoretical."

The Statistician

In this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. Hosmer and Lemeshow extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for dichotomous data in diverse fields. Ample new topics and expanded discussions of existing material are accompanied by a wealth of real-world examples-with extensive data sets available over the Internet.

Synopsis:

In this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. Hosmer and Lemeshow extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for dichotomous data in diverse fields. Ample new topics and expanded discussions of existing material are accompanied by a wealth of real-world examples-with extensive data sets available over the Internet.

Product Details

ISBN:
9780471208266
Author:
Hosmer, David W., Jr.
Publisher:
John Wiley & Sons
Author:
Cook, Elizabeth Donohoe
Author:
David W. Hosmer, Jr.
Author:
Hosmer, David W.
Author:
Stanley Lemeshow, PhD
Author:
Lemeshow, Stanley
Author:
David W. Hosmer, Jr., PhD
Location:
New York
Subject:
Regression analysis
Subject:
Probability & Statistics - General
Subject:
Mathematics | Probability and Statistics
Copyright:
Edition Number:
2
Series:
Wiley Series in Probability and Statistics - Applied Probability and Statistics Section
Series Volume:
427
Publication Date:
January 2001
Binding:
TRADE PAPER
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
Yes
Pages:
280
Dimensions:
11.30x7.90x.55 in. 1.46 lbs.

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Applied Logistic Regression: Solutions Manual (Wiley Series in Probability and Statistics) New Trade Paper
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Product details 280 pages John Wiley & Sons - English 9780471208266 Reviews:
"Synopsis" by , In this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. Hosmer and Lemeshow extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for dichotomous data in diverse fields. Ample new topics and expanded discussions of existing material are accompanied by a wealth of real-world examples-with extensive data sets available over the Internet.
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