Technical efficiency of an individual decision-making unit is defined in terms of the ratio of the observed output to the corresponding frontier output. There are two main competing paradigms for estimating the relative efficiency of individual decision making units (DMU); parametric and non-parametric. The parametric approach assumes a functional relationship between output and inputs and use statistical techniques to estimate the parameters of the function. The non-parametric approach, in contrast, contracts a linear piecewise function from empirical observations on inputs and output without assuming any a priori functional relationship between them. With non-parametric approach, data envelopment analysis (DEA) is used to eastimate technical efficiency of each decision making unit. This study only examined the tools and techniques of parametric approach. The parametric approach relies on a specific functional form and it can be sub-divided into deterministic and stochastic models.
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A. Aruna Shantha (PhD) is currently working as a Senior Lecturer attached to the Department of Economics and Statistics, faculty of Social Sciences and Languages, Sabaragamuwa University of Sri Lanka. He obtained his PhD in 2013 in the field of economics from School of Economics, Northern University of Malaysia.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Technical efficiency of an individual decision-making unit is defined in terms of the ratio of the observed output to the corresponding frontier output. There are two main competing paradigms for estimating the relative efficiency of individual decision making units (DMU); parametric and non-parametric. The parametric approach assumes a functional relationship between output and inputs and use statistical techniques to estimate the parameters of the function. The non-parametric approach, in contrast, contracts a linear piecewise function from empirical observations on inputs and output without assuming any a priori functional relationship between them. With non-parametric approach, data envelopment analysis (DEA) is used to eastimate technical efficiency of each decision making unit. This study only examined the tools and techniques of parametric approach. The parametric approach relies on a specific functional form and it can be sub-divided into deterministic and stochastic models. 96 pp. Englisch. Bestandsnummer des Verkäufers 9786200220677
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Technical efficiency of an individual decision-making unit is defined in terms of the ratio of the observed output to the corresponding frontier output. There are two main competing paradigms for estimating the relative efficiency of individual decision making units (DMU); parametric and non-parametric. The parametric approach assumes a functional relationship between output and inputs and use statistical techniques to estimate the parameters of the function. The non-parametric approach, in contrast, contracts a linear piecewise function from empirical observations on inputs and output without assuming any a priori functional relationship between them. With non-parametric approach, data envelopment analysis (DEA) is used to eastimate technical efficiency of each decision making unit. This study only examined the tools and techniques of parametric approach. The parametric approach relies on a specific functional form and it can be sub-divided into deterministic and stochastic models. Bestandsnummer des Verkäufers 9786200220677
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shantha A. ArunaA. Aruna Shantha (PhD) is currently working as a Senior Lecturer attached to the Department of Economics and Statistics, faculty of Social Sciences and Languages, Sabaragamuwa University of Sri Lanka. He obtained his . Bestandsnummer des Verkäufers 299923482
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Technical efficiency of an individual decision-making unit is defined in terms of the ratio of the observed output to the corresponding frontier output. There are two main competing paradigms for estimating the relative efficiency of individual decision making units (DMU); parametric and non-parametric. The parametric approach assumes a functional relationship between output and inputs and use statistical techniques to estimate the parameters of the function. The non-parametric approach, in contrast, contracts a linear piecewise function from empirical observations on inputs and output without assuming any a priori functional relationship between them. With non-parametric approach, data envelopment analysis (DEA) is used to eastimate technical efficiency of each decision making unit. This study only examined the tools and techniques of parametric approach. The parametric approach relies on a specific functional form and it can be sub-divided into deterministic and stochastic models.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch. Bestandsnummer des Verkäufers 9786200220677
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Taschenbuch. Zustand: Neu. Stochastic Frontier Analysis: Theory and Practices | A. Aruna Shantha | Taschenbuch | 96 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200220677 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 116919362
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