Solutions Manual Hosmer Applied Logistic Regression
Good: A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears.
The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections. Edition Number: 2 Language: English Publication Year: 2001 Format: Paperback ISBN: 266 EAN: 266. Synopsis 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. Presenting information on logistic regression models, this work explains difficult concepts through illustrative examples. Product Identifiers ISBN-264 ISBN-208266 eBay Product ID (ePID) 1968210 Key Details Author David W. Hosmer, Stanley Lemeshow Number Of Pages 280 pages Edition Description Revised Series Wiley Series in Probability and Statistics - Applied Probability and Statistics Section Format Paperback Publication Date 2001-10-11 Language English Publisher Wiley & Sons, Incorporated, John Publication Year 2001 Additional Details Series Volume Number 372 Edition Number 2 Copyright Date 2001 Illustrated Yes Dimensions Weight 23.4 Oz Height 0.6 In. Width 8.3 In. Length 11 In.
Target Audience Group Scholarly & Professional Classification Method Dewey Decimal 519.5/36 Dewey Edition 20.
From the reviews of the First Edition. 'An interesting, useful, and well-written book on logistic regression models.
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Applied Logistic Regression Analysis
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.
Applied Logistic Regression Hosmer Lemeshow
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. 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: 266 Binding: Trade Paperback Publication date: Publisher: JOHN WILEY & SONS Series info: Wiley Series in Probability and Statistics Edition: 2ED Pages: 270 Height:.55IN Width: 7.90IN Thickness:.50 Series: Wiley Series in Probability and Statistics - Appli Number of Units: 1 Illustration: Yes Copyright Year: 2001 Series Volume: 427 UPC Code: 268 Author: David W Hosmer Author: Stanley Lemeshow Author: David W. Hosmer Author: Stanley Lemeshow Author: David W. Hosmer Subject: Mathematics Probability and Statistics Subject: Regression analysis.