Advisor(s) - Committee Chair
Dr. Ngoc Nguyen (Director), Dr. Melanie Autin, Dr. Tom Richmond
Department of Mathematics and Computer Science
Master of Science
Stochastic frontier analysis is an exciting method of economic production modeling that is relevant to hospitals, stock markets, manufacturing factories, and services. In this paper, we create a new model using the normal distribution and truncated skew-Laplace distribution, namely the normal-truncated skew-Laplace model. This is a generalized model of the normal-exponential case. Furthermore, we compute the true technical efficiency and estimated technical efficiency of the normal-truncated skewed-Laplace model. Also, we compare the technical efficiencies of normal-truncated skewed-Laplace model and normal-exponential model.
Economics | Numerical Analysis and Scientific Computing | Other Applied Mathematics | Statistical Models
Wang, Junyi, "A Normal Truncated Skewed-Laplace Model in Stochastic Frontier Analysis" (2012). Masters Theses & Specialist Projects. Paper 1177.
Available for download on Thursday, June 20, 2013