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Field name	Details
Dewey Class	519.5
Title	Applied Predictive Modeling ([Ebook]) / by Max Kuhn, Kjell Johnson.
Author	Kuhn, Max
Added Personal Name	Johnson, Kjell
Other name(s)	SpringerLink (Online service)
Publication	New York, NY : Springer
Publication	, 2013.
Physical Details	XIII, 600 pages, 203 illus., 153 illus. in color. : online resource.
ISBN	9781461468493
Summary Note	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. Dr. Johnson has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development.Â He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R&D.Â His scholarly work centers on the application and development of statistical methodology and learning algorithms.:
Contents note	General Strategies -- Regression Models -- Classification Models -- Other Considerations -- Appendix -- References -- Indices.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site	http://dx.doi.org/10.1007/978-1-4614-6849-3
Links to Related Works	Subject References: Mathematical Statistics . Statistics . Statistics and Computing/Statistics Programs . Statistics for Life Sciences, Medicine, Health Sciences . Statistics, general . Authors: author . Johnson, Kjell . Kuhn, Max . Corporate Authors: SpringerLink (Online service) . Classification: 519.5 .

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Applied Predictive Modeling

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