Assessing container operator efficiency with heterogeneous and time-varying production frontiers

Transportation Research Part B: Methodological

Volumn 43, Issue 1, 2009, Pages 172-185

  Yan, Jia ^a   Sun, Xinyu ^c   Liu, John J ^b  

^a WASHINGTON STATE UNIVERSITY   (United States)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c XI'AN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Bayesian approach; Production efficiency; Stochastic frontier analysis

Indexed keywords

BAYESIAN NETWORKS; CONTAINERS; INTELLIGENT SYSTEMS; MARKOV PROCESSES; MONTE CARLO METHODS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

BAYESIAN APPROACHES; EFFICIENCY LEVELS; MARKOV CHAIN MONTE CARLO SIMULATION; OPERATOR EFFICIENCY; PRODUCTION EFFICIENCY; PRODUCTION FRONTIER; STOCHASTIC FRONTIER; STOCHASTIC FRONTIER ANALYSIS;

EFFICIENCY;

BAYESIAN ANALYSIS; CONTAINER TERMINAL; EFFICIENCY MEASUREMENT; EMPIRICAL ANALYSIS; MARKOV CHAIN; MONTE CARLO ANALYSIS; STOCHASTICITY;

EID: 55049139868     PISSN: 01912615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trb.2008.06.001     Document Type: Article

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