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Production and efficiency analysis w...

Behr, Andreas.

Production and efficiency analysis with R

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Production and efficiency analysis with Rby Andreas Behr.
作者:	Behr, Andreas.
出版者:	Cham :Springer International Publishing :2015.
面頁冊數:	x, 227 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Production managementStatistical methods.
電子資源:	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:

185398
Production management
--Statistical methods.

LC Class. No.: TS155

Dewey Class. No.: 658.500727

Production and efficiency analysis with R
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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.
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