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[null,"1.","Record Nr.",null,"UNINA9910300251303321"]
[null,null,"Autore",null,"Behr Andreas"]
[null,null,"Titolo",null,"Production and Efficiency Analysis with R / / by Andreas Behr"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015"]
[null,null,"ISBN",null,"3-319-20502-1"]
[null,null,"Edizione",null,"[1st ed. 2015.]"]
[null,null,"Descrizione fisica",null,"1 online resource (X, 227 p. 49 illus.)"]
[null,null,"Disciplina",null,"658.500727"]
[null,null,"Soggetti",null,"Statistics"]
[{"$nulls":4},"Production management"]
[{"$nulls":4},"Industrial engineering"]
[{"$nulls":4},"Production engineering"]
[{"$nulls":4},"Operations research"]
[{"$nulls":4},"Decision making"]
[{"$nulls":4},"Econometrics"]
[{"$nulls":4},"R (Computer program language)"]
[{"$nulls":4},"Statistics for Business, Management, Economics, Finance, Insurance"]
[{"$nulls":4},"Operations Management"]
[{"$nulls":4},"Industrial and Production Engineering"]
[{"$nulls":4},"Operations Research/Decision Theory"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Introduction -- Linear Production Model -- Production Functions -- Production Functions with Panel Data -- Introduction to Linear Programming -- Data Envelopment Analysis -- Stochastic Data Envelopment Analysis -- Stochastic Frontier Analysis -- Panel Data Stochastic Frontier Analysis."]
[null,null,null,"Sommario/riassunto","This textbook introduces essential topics and techniques in production and efficiency analysis and shows how to apply these methods using the statistical software R. Numerous small simulations lead to a deeper understanding of random processes assumed in the models and of the behavior of estimation techniques. Step-by-step programming provides an understanding of advanced approaches such as stochastic frontier analysis and stochastic data envelopment analysis. The text is intended for master students interested in empirical production and efficiency analysis. Readers are assumed to have a general background "]
[{"$nulls":4},"in production economics and econometrics, typically taught in introductory microeconomics and econometrics courses."]