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02970cam a2200481Ia 4500 |
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ocm53371671 |
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OCoLC |
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20210510133640.0 |
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m o d |
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031107s2000 nyua ob 001 0 eng d |
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060 |
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|a QA 37
|b H827a 2000
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082 |
0 |
4 |
|a 519.5/36
|2 22
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100 |
1 |
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|a Hosmer, David W.
|9 41522
|e συγγραφέας.
|
245 |
1 |
0 |
|a Applied logistic regression /
|c David W. Hosmer, Stanley Lemeshow.
|
250 |
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|a 2η έκδ.
|
260 |
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|a New York :
|b Wiley,
|c c2000.
|
300 |
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|a 1 ηλεκτρονική πηγή (xii, 375 σ.) :
|b εικ.
|
490 |
1 |
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|a Wiley series in probability and statistics. Texts and references section
|
500 |
|
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|a "A Wiley-Interscience publication."
|
504 |
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|a Includes bibliographical references (pages 354-367) and index.
|
505 |
0 |
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|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 |
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|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.
|
650 |
|
4 |
|a Ανάλυση παλινδρόμησης
|9 3836
|
650 |
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4 |
|a Εξόρυξη δεδομένων
|9 12391
|
650 |
|
4 |
|a Στατιστικά μοντέλα
|9 946
|
655 |
|
0 |
|a Ηλεκτρονικά βιβλία
|
700 |
1 |
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|a Lemeshow, Stanley
|e συγγραφέας.
|9 12243
|
830 |
|
0 |
|a Wiley series in probability and statistics
|p Texts and references section
|9 164274
|
856 |
4 |
0 |
|u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=99027
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942 |
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|2 ddc
|c ERS
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