Design and analysis of experiments in the health sciences /
"This volume provides technical professionals and students with three uniquely integrative enhancements to the study of predictive modeling not typically found in data-mining books: an applied approach, immediate practice using Microsoft Excel, and easy-to-use access to multiple online model-bu...
| Κύριος συγγραφέας: | |
|---|---|
| Άλλοι συγγραφείς: | |
| Μορφή: | Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Hoboken, N.J. :
Wiley,
2012.
|
| Έκδοση: | 1st ed. |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
| Περίληψη: | "This volume provides technical professionals and students with three uniquely integrative enhancements to the study of predictive modeling not typically found in data-mining books: an applied approach, immediate practice using Microsoft Excel, and easy-to-use access to multiple online model-building tools. Since actual datasets are employed, users deal with real-life modeling issues and situations such as handling missing values, applying variable transformations, and addressing outliers, among others. An easy-to-learn Microsoft Excel add-in (Predictive MinerXL) and all applicable datasets are available for free on an associated Web site"-- |
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| Φυσική περιγραφή: | 1 online resource |
| Βιβλιογραφία: | Includes bibliographical references and index. |
| ISBN: | 9781118279694 1118279697 9786613678904 6613678902 9781118279724 1118279727 1280768134 9781280768132 |
| DOI: | 10.1002/9781118279724 |
