Semiparametric Regression with R

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Bibliográfiai részletek
Szerző:	Harezlak, Jaroslaw., szerző
Testületi szerző:	SpringerLink (Online service), közreadó testület
Közreműködő(k):	Ruppert, David., szerző Wand, Matt P., szerző
Különgyűjtemény:	e-book
Formátum:	könyv
Nyelv:	angol
Megjelenés:	New York, NY : : Springer New York : : Imprint: Springer,, 2018
Kiadás:	1st ed. 2018.
Sorozat:	Use R!,, ISSN 2197-5736
Tárgyszavak:	Mathematical statistics. Statistics. Statistical Theory and Methods. Statistics for Life Sciences, Medicine, Health Sciences. Statistics for Business, Management, Economics, Finance, Insurance. elektronikus könyv
Online elérés:	https://doi.org/10.1007/978-1-4939-8853-2
Címkék:	Új címke A tételhez itt fűzhet saját címkét!

id	opac-EUL01-000979157
collection	e-book
institution	L_200 EUL01
spelling	Harezlak, Jaroslaw. szerző aut http://id.loc.gov/vocabulary/relators/aut Semiparametric Regression with R by Jaroslaw Harezlak, David Ruppert, Matt P. Wand. 1st ed. 2018. New York, NY : Springer New York : Imprint: Springer, 2018 XI, 331 p. 144 illus., 142 illus. in color. online forrás szöveg txt rdacontent számítógépes c rdamedia távoli hozzáférés cr rdacarrier szövegfájl PDF rda Use R!, 2197-5736 Introduction -- Penalized Splines -- Generalized Additive Models -- Semiparametric Regression Analysis of Grouped Data -- Bivariate Function Extensions -- Selection of Additional Topics.-Index. This easy-to-follow applied book expands upon the authors’ prior work on semiparametric regression to include the use of R software. In 2003, authors Ruppert and Wand co-wrote Semiparametric Regression with R.J. Carroll, which introduced the techniques and benefits of semiparametric regression in a concise and user-friendly fashion. Fifteen years later, semiparametric regression is applied widely, powerful new methodology is continually being developed, and advances in the R computing environment make it easier than ever before to carry out analyses. Semiparametric Regression with R introduces the basic concepts of semiparametric regression with a focus on applications and R software. This volume features case studies from environmental, economic, financial, and other fields. The examples and corresponding code can be used or adapted to apply semiparametric regression to a wide range of problems. It contains more than fifty exercises, and the accompanying HRW package contains all datasets and scripts used in the book, as well as some useful R functions. This book is suitable as a textbook for advanced undergraduates and graduate students, as well as a guide for statistically-oriented practitioners, and could be used in conjunction with Semiparametric Regression. Readers are assumed to have a basic knowledge of R and some exposure to linear models. For the underpinning principles, calculus-based probability, statistics, and linear algebra are desirable. Nyomtatott kiadás: ISBN 9781493988518 Nyomtatott kiadás: ISBN 9781493988525 Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők. könyv e-book Mathematical statistics. EUL10000079757 Y Statistics. EUL10000081563 Y Statistical Theory and Methods. Statistics for Life Sciences, Medicine, Health Sciences. Statistics for Business, Management, Economics, Finance, Insurance. elektronikus könyv Ruppert, David. szerző aut http://id.loc.gov/vocabulary/relators/aut Wand, Matt P. szerző aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) közreadó testület Use R!, 2197-5736 EUL10000602827 Y Online változat https://doi.org/10.1007/978-1-4939-8853-2 EUL01
language	English
format	Book
author	Harezlak, Jaroslaw., szerző
spellingShingle	Harezlak, Jaroslaw., szerző Semiparametric Regression with R Use R!,, ISSN 2197-5736 Mathematical statistics. Statistics. Statistical Theory and Methods. Statistics for Life Sciences, Medicine, Health Sciences. Statistics for Business, Management, Economics, Finance, Insurance. elektronikus könyv
author_facet	Harezlak, Jaroslaw., szerző Ruppert, David., szerző Wand, Matt P., szerző SpringerLink (Online service), közreadó testület
author2	Ruppert, David., szerző Wand, Matt P., szerző
author_corporate	SpringerLink (Online service), közreadó testület
author_sort	Harezlak, Jaroslaw.
title	Semiparametric Regression with R
title_short	Semiparametric Regression with R
title_full	Semiparametric Regression with R by Jaroslaw Harezlak, David Ruppert, Matt P. Wand.
title_fullStr	Semiparametric Regression with R by Jaroslaw Harezlak, David Ruppert, Matt P. Wand.
title_full_unstemmed	Semiparametric Regression with R by Jaroslaw Harezlak, David Ruppert, Matt P. Wand.
title_auth	Semiparametric Regression with R
title_sort	semiparametric regression with r
series	Use R!,, ISSN 2197-5736
series2	Use R!,
publishDate	2018
publishDateSort	2018
physical	XI, 331 p. 144 illus., 142 illus. in color. : online forrás
edition	1st ed. 2018.
isbn	978-1-4939-8853-2
issn	2197-5736
callnumber-first	Q - Science
callnumber-subject	QA - Mathematics
callnumber-label	QA276-280
callnumber-raw	979157
callnumber-search	979157
topic	Mathematical statistics. Statistics. Statistical Theory and Methods. Statistics for Life Sciences, Medicine, Health Sciences. Statistics for Business, Management, Economics, Finance, Insurance. elektronikus könyv
topic_facet	Mathematical statistics. Statistics. Statistical Theory and Methods. Statistics for Life Sciences, Medicine, Health Sciences. Statistics for Business, Management, Economics, Finance, Insurance. elektronikus könyv Mathematical statistics. Statistics. Statistical Theory and Methods. Statistics for Life Sciences, Medicine, Health Sciences. Statistics for Business, Management, Economics, Finance, Insurance.
url	https://doi.org/10.1007/978-1-4939-8853-2
illustrated	Not Illustrated
dewey-hundreds	500 - Science
dewey-tens	510 - Mathematics
dewey-ones	519 - Probabilities & applied mathematics
dewey-full	519.5
dewey-sort	3519.5
dewey-raw	519.5
dewey-search	519.5
first_indexed	2023-12-26T23:20:17Z
last_indexed	2023-12-29T19:19:18Z
recordtype	opac
publisher	New York, NY : : Springer New York : : Imprint: Springer,
_version_	1786641340367372290
score	13,374737
generalnotes	This easy-to-follow applied book expands upon the authors’ prior work on semiparametric regression to include the use of R software. In 2003, authors Ruppert and Wand co-wrote Semiparametric Regression with R.J. Carroll, which introduced the techniques and benefits of semiparametric regression in a concise and user-friendly fashion. Fifteen years later, semiparametric regression is applied widely, powerful new methodology is continually being developed, and advances in the R computing environment make it easier than ever before to carry out analyses. Semiparametric Regression with R introduces the basic concepts of semiparametric regression with a focus on applications and R software. This volume features case studies from environmental, economic, financial, and other fields. The examples and corresponding code can be used or adapted to apply semiparametric regression to a wide range of problems. It contains more than fifty exercises, and the accompanying HRW package contains all datasets and scripts used in the book, as well as some useful R functions. This book is suitable as a textbook for advanced undergraduates and graduate students, as well as a guide for statistically-oriented practitioners, and could be used in conjunction with Semiparametric Regression. Readers are assumed to have a basic knowledge of R and some exposure to linear models. For the underpinning principles, calculus-based probability, statistics, and linear algebra are desirable.

Semiparametric Regression with R

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