Show simple item record

dc.contributor.authorKuhn, Maxen_US
dc.contributor.authorJohnson, Kjellen_US
dc.date.accessioned2020-08-05T07:12:37Z
dc.date.available2020-08-05T07:12:37Z
dc.date.issued2013en_US
dc.identifier.isbn978-1-4614-6848-6en_US
dc.identifier.isbn978-1-4614-6849-3en_US
dc.identifier.otherHPU2164638en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/33686
dc.description.abstractThis 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.en_US
dc.format.extent595p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectModelen_US
dc.subjectNon-Linearen_US
dc.subjectPredictive Modelsen_US
dc.subjectRegression Modelsen_US
dc.subjectRegression Treesen_US
dc.titleApplied Predictive Modelingen_US
dc.typeBooken_US
dc.size7,91 MBen_US
dc.departmentTechnologyen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record