Skip to main content

On this page

Non-fiction literature, Text · English

Applied Predictive Modeling

Max. Kuhn, Kjell. Johnson, SpringerLink (Online service)
ISBN 9781461468493, DOI 10.1007/978-1-4614-6849-3
publication
New York, NY : Springer New York; Imprint: Springer, 2013
XIII, 600 p. 203 illus., 153 illus. in color.
by Max Kuhn, Kjell Johnson
Online resource

Availability by type

category
Non-fiction literature
Subject
MED090000, Statistics., Mathematical statistics., Statistics., Statistics for Life Sciences, Medicine, Health Sciences., Statistics and Computing/Statistics Programs., Statistics, general.
Has other physical format
Applied Predictive Modeling · ISBN 9781461468486 (Printed edition:)
More details Cite

Summary

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.  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.  His scholarly work centers on the application and development of statistical methodology and learning algorithms.

Table of Contents

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

Details

Contributor and role
Max. Kuhn, Kjell. Johnson, SpringerLink (Online service)
Classification
519.5 (DDC Classification)
Identifier
ISBN 9781461468493, DOI 10.1007/978-1-4614-6849-3
Indirectly identified by
ISBN 9781461468486 · Print
Title resource
Applied Predictive Modeling
Creative responsibility statement
by Max Kuhn, Kjell Johnson
publication
New York, NY : Springer New York; Imprint: Springer, 2013
Extent
XIII, 600 p. 203 illus., 153 illus. in color.
Relaterad beskrivning eller innehåll
Table of Contents / Abstracts
dimensions
n
Physical details note
digital.
Classification
QA276-280 (LCC Classification)
Has other physical format
Applied Predictive Modeling · ISBN 9781461468486 (Printed edition:)
Digital characteristic
008
Color content
n
control number
14557710

Resource ID / Permalink: https://libris.kb.se/n604m5702r9v1lg#it

Download metadata: JSON-LD · Turtle · RDF/XML · MARC21 (ISO 2709) · MARC21 (XML)

Show metadata in Libris cataloging