Applied logistic regression /

In this revised and updated edition, the authors continue to provide an 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. They extend the discussion from biostatistics and...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Hosmer, David W. (συγγραφέας.)
Άλλοι συγγραφείς: Lemeshow, Stanley (συγγραφέας.)
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York : Wiley, c2000.
Έκδοση:2η έκδ.
Σειρά:Wiley series in probability and statistics Texts and references section
Θέματα:
Διαθέσιμο Online:http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=99027
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100 1 |a Hosmer, David W.  |9 41522  |e συγγραφέας. 
245 1 0 |a Applied logistic regression /  |c David W. Hosmer, Stanley Lemeshow. 
250 |a 2η έκδ. 
260 |a New York :  |b Wiley,  |c c2000. 
300 |a 1 ηλεκτρονική πηγή (xii, 375 σ.) :  |b εικ. 
490 1 |a Wiley series in probability and statistics. Texts and references section 
500 |a "A Wiley-Interscience publication." 
504 |a Includes bibliographical references (pages 354-367) and index. 
505 0 |a Introduction to the logistic regression model -- Multiple logistic regression -- Interpretation of the fitted logistic regression model -- Model-building strategies and methods for logistic regression -- Assessing the fit of the model -- Application of logistic regression with different sampling models -- Logistic regression for matched case-control studies -- Special topics. 
520 |a In this revised and updated edition, the authors continue to provide an 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. They 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 real-world examples-with extensive data sets available over the Internet. 
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700 1 |a Lemeshow, Stanley  |e συγγραφέας.  |9 12243 
830 0 |a Wiley series in probability and statistics  |p Texts and references section  |9 164274 
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