Applied Logistic Regression (Wiley Series in Probability and Statistics)
Hosmer, David W.; Lemeshow, Stanley
Language: English
Published by Wiley-Interscience Publication, New York, 2000
Series: Book 181 of 358 - Wiley Series in Probability and Statistics
- Hardcover
- Used
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- Title
- Applied Logistic Regression (Wiley Series in Probability and Statistics)
- Author
- Hosmer, David W.; Lemeshow, Stanley
- Publisher
- Wiley-Interscience Publication, New York
- Publication year
- 2000
- Condition
- Fine
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471356328
- ISBN 13
- 9780471356325
- Edition
- 2nd Edition
- Item weight
- 2 pounds
- Dimensions
- 2.54x15.875x23.495 cm
- Series
- Book 181 of 358: Wiley Series in Probability and Statistics
"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" may belong to another edition of this title.
About the Author
STANLEY LEMESHOW, PhD, is Professor of Biostatistics and Director of the Biostatistics Program at The Ohio State University.
"About the title" may belong to another edition of this title.
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