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Book details ●

Author : Max Kuhn

Pages : 600 pages

Publisher : Springer

Language : en-US

ISBN-10 : 1461468485

ISBN-13 : 9781461468486

Book Synopsis This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Nonmathematical 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. He is a co-founder of Arbor

DOWNLOAD BOOK Applied Predictive Modeling  

DOWNLOAD BOOK Applied Predictive Modeling

DOWNLOAD BOOK Applied Predictive Modeling  

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