|
" Applied predictive modeling / "
Max Kuhn, Kjell Johnson.
Document Type
|
:
|
BL
|
Record Number
|
:
|
809674
|
Doc. No
|
:
|
b623690
|
Main Entry
|
:
|
Kuhn, Max.
|
Title & Author
|
:
|
Applied predictive modeling /\ Max Kuhn, Kjell Johnson.
|
Publication Statement
|
:
|
New York :: Springer,, ©2013.
|
Page. NO
|
:
|
xiii, 600 pages :: illustrations (some color) ;; 24 cm
|
ISBN
|
:
|
1461468485
|
|
:
|
: 9781461468486
|
|
:
|
9781461468493
|
Bibliographies/Indexes
|
:
|
Includes bibliographical references and indexes.
|
Abstract
|
:
|
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. -- from back cover.
|
Subject
|
:
|
Mathematical statistics.
|
Subject
|
:
|
Mathematical models.
|
Subject
|
:
|
Prediction theory.
|
Subject
|
:
|
Mathematical models.
|
Subject
|
:
|
Mathematical statistics.
|
Subject
|
:
|
Prediction theory.
|
Subject
|
:
|
Vorhersagetheorie
|
Subject
|
:
|
Mathematisches Modell
|
Subject
|
:
|
Matematisk statistik.
|
Subject
|
:
|
Matematiska modeller.
|
Subject
|
:
|
Models, Statistical.
|
Subject
|
:
|
Statistics as Topic.
|
Subject
|
:
|
Models, Theoretical.
|
Dewey Classification
|
:
|
519.5
|
LC Classification
|
:
|
QA276.K84 2013
|
NLM classification
|
:
|
QA276.K84 2013
|
Added Entry
|
:
|
Johnson, Kjell.
|
| |