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An introduction to the advanced theo...

Racine, Jeffrey Scott, (1962-)

An introduction to the advanced theory of nonparametric econometrics : = a replicable approach using R /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	An introduction to the advanced theory of nonparametric econometrics :/ Jeffrey S. Racine.
Reminder of title:	a replicable approach using R /
remainder title:	nonparametric econometrics
Author:	Racine, Jeffrey Scott,
Published:	Cambridge, UK ;Cambridge University Press, : 2019.,
Description:	xxvi, 408 p. :ill. (some col.) ; : 26 cm.;
Subject:	Econometrics. -
ISBN:	9781108483407 (cloth) :

An introduction to the advanced theory of nonparametric econometrics : = a replicable approach using R /
Racine, Jeffrey Scott,1962-

An introduction to the advanced theory of nonparametric econometrics :a replicable approach using R /nonparametric econometricsJeffrey S. Racine. - Cambridge, UK ;Cambridge University Press,2019. - xxvi, 408 p. :ill. (some col.) ;26 cm.

Includes bibliographical references and indexes.

Discrete probability and cumulative probability functions -- Continuous density and cumulative distribution functions -- Mixed-data probability density and cumulative distribution functions -- Conditional probability density and cumulative distribution functions -- Conditional moment functions -- Conditional mean function estimation -- Conditional mean function estimation with endogenous predictors -- Semiparametric conditional mean function estimation -- Conditional variance function estimation.

"An Introduction to the Advanced Theory of Nonparametric Econometrics Interest in nonparametric methodology has grown considerably over the past few decades, stemming in part from vast improvements in computer hardware and the availability of new software that allows practitioners to take full advantage of these numerically intensive methods. This book is written for advanced undergraduate students, intermediate graduate students, and faculty, and provides a complete teaching and learning course at a more accessible level of theoretical rigor than Racine's earlier book co-authored with Qi Li, Nonparametric Econometrics: Theory and Practice (2007). The open source R platform for statistical computing and graphics is used throughout in conjunction with the R package np. Recent developments in reproducible research is emphasized throughout with appendices devoted to helping the reader get up to speed with R, R Markdown, TeX and Git"--

ISBN: 9781108483407 (cloth) :NT1540

LCCN: 2018041299Subjects--Topical Terms:

556981
Econometrics.

LC Class. No.: HB139 / .R3292 2019

Dewey Class. No.: 330.01/51954

An introduction to the advanced theory of nonparametric econometrics : = a replicable approach using R /
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050 0 0 $a HB139 $b .R3292 2019
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100 1 $a Racine, Jeffrey Scott, $d 1962- $3 599673
245 1 3 $a An introduction to the advanced theory of nonparametric econometrics : $b a replicable approach using R / $c Jeffrey S. Racine.
246 1 4 $a nonparametric econometrics
260 # $a Cambridge, UK ; $a New York, NY : $b Cambridge University Press, $c 2019.
300 $a xxvi, 408 p. : $b ill. (some col.) ; $c 26 cm.
504 $a Includes bibliographical references and indexes.
505 0 # $a Discrete probability and cumulative probability functions -- Continuous density and cumulative distribution functions -- Mixed-data probability density and cumulative distribution functions -- Conditional probability density and cumulative distribution functions -- Conditional moment functions -- Conditional mean function estimation -- Conditional mean function estimation with endogenous predictors -- Semiparametric conditional mean function estimation -- Conditional variance function estimation.
520 # $a "An Introduction to the Advanced Theory of Nonparametric Econometrics Interest in nonparametric methodology has grown considerably over the past few decades, stemming in part from vast improvements in computer hardware and the availability of new software that allows practitioners to take full advantage of these numerically intensive methods. This book is written for advanced undergraduate students, intermediate graduate students, and faculty, and provides a complete teaching and learning course at a more accessible level of theoretical rigor than Racine's earlier book co-authored with Qi Li, Nonparametric Econometrics: Theory and Practice (2007). The open source R platform for statistical computing and graphics is used throughout in conjunction with the R package np. Recent developments in reproducible research is emphasized throughout with appendices devoted to helping the reader get up to speed with R, R Markdown, TeX and Git"-- $c Provided by publisher.
650 # 0 $a Econometrics. $3 556981
650 # 0 $a Nonparametric statistics. $3 527779
650 # 0 $a R (Computer program language) $3 679069