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Production and efficiency analysis w...

Behr, Andreas.

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Production and efficiency analysis with R

Record Type:	Electronic resources : Monograph/item
Title/Author:	Production and efficiency analysis with R/ by Andreas Behr.
Author:	Behr, Andreas.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	x, 227 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Production management - Statistical methods. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-20502-1
ISBN:	9783319205021$q(electronic bk.)

Production and efficiency analysis with R
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$q(electronic bk.)

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

743631
Production management
--Statistical methods.

LC Class. No.: TS155

Dewey Class. No.: 658.500727

Production and efficiency analysis with R
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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 743631
650 0 $a Production management $x Data processing. $3 648493
650 0 $a R (Computer program language) $3 784593
650 1 4 $a Statistics. $3 517247
650 2 4 $a Statistics for Business/Economics/Mathematical Finance/Insurance. $3 891081
650 2 4 $a Operations Management. $2 swd $3 1283589
650 2 4 $a Industrial and Production Engineering. $3 891024
650 2 4 $a Operation Research/Decision Theory. $3 1620900
650 2 4 $a Econometrics. $3 542934
710 2 $a SpringerLink (Online service) $3 836513
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)