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...

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Bibliographic Details
Main Author: Hosmer, David W. (συγγραφέας.)
Other Authors: Lemeshow, Stanley (συγγραφέας.)
Format: eBook
Language:English
Published: New York : Wiley, c2000.
Edition:2η έκδ.
Series:Wiley series in probability and statistics Texts and references section
Subjects:
Online Access:http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=99027
Description
Summary: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.
Item Description:"A Wiley-Interscience publication."
Physical Description:1 ηλεκτρονική πηγή (xii, 375 σ.) : εικ.
Bibliography:Includes bibliographical references (pages 354-367) and index.
ISBN:0471654027
9780471654025
9780471722144
0471722146
0471673803
9780471673804