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25 Remote Warehouse Mathematics- Probability and Statistics

Applied Predictive Modeling

by

Applied Predictive Modeling Cover

 

Synopses & Reviews

Publisher Comments:

This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics. Dr. Kuhn is a Director of Non-Clinical Statistics at Pfizer Global R&D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages.

Synopsis:

This book provides an introduction to predictive models as well as a guide to applying them. It will serve as a useful guide for practitioners. All results can be reproduced using R.

About the Author

These authors use decades of industry experience to forge a text for practitioners.

Table of Contents

General Strategies.- Regression Models.- Classification Models.- Other Considerations.- Appendix.- References.- Indices.

Product Details

ISBN:
9781461468486
Author:
Kuhn, Max
Publisher:
Springer
Author:
Johnson, Kjell
Location:
New York, NY
Subject:
Biostatistics
Subject:
Model
Subject:
Non-linear
Subject:
Predictive models
Subject:
Earth sciences, geography, environment, planning
Subject:
regression models
Subject:
regression trees
Subject:
Statistics for Life Sciences, Medicine, Health Sciences
Subject:
Statistics and Computing/Statistics Programs
Subject:
Statistics/General
Subject:
Mathematics | Probability and Statistics
Subject:
Statistics
Subject:
The Arts
Subject:
mathematics and statistics
Subject:
Mathematical statistics
Copyright:
Edition Description:
2013
Publication Date:
20130601
Binding:
HARDCOVER
Language:
English
Pages:
620
Dimensions:
235 x 155 mm

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Related Subjects

» Health and Self-Help » Health and Medicine » Medical Specialties
» Science and Mathematics » Mathematics » Probability and Statistics » General
» Science and Mathematics » Mathematics » Probability and Statistics » Statistics
» Science and Mathematics » Mathematics » Software

Applied Predictive Modeling New Hardcover
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Product details 620 pages Springer - English 9781461468486 Reviews:
"Synopsis" by , This book provides an introduction to predictive models as well as a guide to applying them. It will serve as a useful guide for practitioners. All results can be reproduced using R.
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