Kjell Johnson: Applied Predictive Modeling

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Cover: 9781461468486 | Applied Predictive Modeling | Kjell Johnson (u. a.) | Buch | Englisch

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Sprache: Englisch

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Beschreibung

Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner¿s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book¿s R package.

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.

Über den Autor

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.

Zusammenfassung

Book specializes in data analysis with focus on practice of predictive modeling

Useful as a guide for practitioners

Reader can reproduce all results using R

Includes supplementary material: [...]

Inhaltsverzeichnis

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

Details

Erscheinungsjahr:	2018
Fachbereich:	Wahrscheinlichkeitstheorie
Genre:	Mathematik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Seiten:	616
Inhalt:	xiii 600 S. 14 s/w Illustr. 296 farbige Illustr. 600 p. 310 illus. 296 illus. in color.
ISBN-13:	9781461468486
ISBN-10:	1461468485
Sprache:	Englisch
Herstellernummer:	80031722
Ausstattung / Beilage:	HC runder Rücken kaschiert
Einband:	Gebunden
Autor:	Johnson, Kjell Kuhn, Max
Auflage:	2013
Hersteller:	Springer New York Springer US, New York, N.Y.
Maße:	241 x 160 x 39 mm
Von/Mit:	Kjell Johnson (u. a.)
Erscheinungsdatum:	30.03.2018
Gewicht:	1,08 kg

preigu-id: 106087444