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Production and efficiency analysis w...

Behr, Andreas.

Production and efficiency analysis with R[electronic resource] /

レコード種別:	言語・文字資料 (印刷物) : 単行資料
[NT 15000414] null:	658.500727
タイトル / 著者:	Production and efficiency analysis with R/ by Andreas Behr.
著者:	Behr, Andreas.
出版された:	Cham : : Springer International Publishing :, 2015.
記述:	x, 227 p. : : ill., digital ;; 24 cm.
含まれています:	Springer eBooks
主題:	Production management - Statistical methods.
主題:	Production management - Data processing.
主題:	R (Computer program language)
主題:	Statistics.
主題:	Statistics for Business/Economics/Mathematical Finance/Insurance.
主題:	Operations Management.
主題:	Industrial and Production Engineering.
主題:	Operation Research/Decision Theory.
主題:	Econometrics.
国際標準図書番号 (ISBN) :	9783319205021
国際標準図書番号 (ISBN) :	9783319205014
[NT 15000228] null:	Introduction -- Linear Production Model -- Production Functions -- Production Functions with Panel Data -- Introduction to Linear Programming -- Data Envelopment Analysis -- Stochastic Data Envelopment Analysis -- Stochastic Frontier Analysis -- Panel Data Stochastic Frontier Analysis.
[NT 15000229] null:	This textbook introduces essential topics and techniques in production and efficiency analysis and shows how to apply these methods using the statistical software R. Numerous small simulations lead to a deeper understanding of random processes assumed in the models and of the behavior of estimation techniques. Step-by-step programming provides an understanding of advanced approaches such as stochastic frontier analysis and stochastic data envelopment analysis. The text is intended for master students interested in empirical production and efficiency analysis. Readers are assumed to have a general background in production economics and econometrics, typically taught in introductory microeconomics and econometrics courses.
電子資源:	http://dx.doi.org/10.1007/978-3-319-20502-1

Production and efficiency analysis with R[electronic resource] /
Behr, Andreas.

Production and efficiency analysis with R[electronic resource] /by Andreas Behr. - Cham :Springer International Publishing :2015. - x, 227 p. :ill., digital ;24 cm.

Introduction -- Linear Production Model -- Production Functions -- Production Functions with Panel Data -- Introduction to Linear Programming -- Data Envelopment Analysis -- Stochastic Data Envelopment Analysis -- Stochastic Frontier Analysis -- Panel Data Stochastic Frontier Analysis.

This textbook introduces essential topics and techniques in production and efficiency analysis and shows how to apply these methods using the statistical software R. Numerous small simulations lead to a deeper understanding of random processes assumed in the models and of the behavior of estimation techniques. Step-by-step programming provides an understanding of advanced approaches such as stochastic frontier analysis and stochastic data envelopment analysis. The text is intended for master students interested in empirical production and efficiency analysis. Readers are assumed to have a general background in production economics and econometrics, typically taught in introductory microeconomics and econometrics courses.

ISBN: 9783319205021

Standard No.: 10.1007/978-3-319-20502-1doiSubjects--Topical Terms:

382417
Production management
--Statistical methods.

LC Class. No.: TS155

Dewey Class. No.: 658.500727

Production and efficiency analysis with R[electronic resource] /
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245 1 0 $a Production and efficiency analysis with R $h [electronic resource] / $c by Andreas Behr.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a x, 227 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Linear Production Model -- Production Functions -- Production Functions with Panel Data -- Introduction to Linear Programming -- Data Envelopment Analysis -- Stochastic Data Envelopment Analysis -- Stochastic Frontier Analysis -- Panel Data Stochastic Frontier Analysis.
520 $a This textbook introduces essential topics and techniques in production and efficiency analysis and shows how to apply these methods using the statistical software R. Numerous small simulations lead to a deeper understanding of random processes assumed in the models and of the behavior of estimation techniques. Step-by-step programming provides an understanding of advanced approaches such as stochastic frontier analysis and stochastic data envelopment analysis. The text is intended for master students interested in empirical production and efficiency analysis. Readers are assumed to have a general background in production economics and econometrics, typically taught in introductory microeconomics and econometrics courses.
650 0 $a Production management $x Statistical methods. $3 382417
650 0 $a Production management $x Data processing. $3 602242
650 0 $a R (Computer program language) $3 465792
650 1 4 $a Statistics. $3 145349
650 2 4 $a Statistics for Business/Economics/Mathematical Finance/Insurance. $3 464928
650 2 4 $a Operations Management. $2 swd $3 337359
650 2 4 $a Industrial and Production Engineering. $3 463784
650 2 4 $a Operation Research/Decision Theory. $3 511310
650 2 4 $a Econometrics. $3 186734
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-20502-1
950 $a Mathematics and Statistics (Springer-11649)

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http://dx.doi.org/10.1007/978-3-319-20502-1

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