Publication Date

5-2012

Advisor(s) - Committee Chair

Dr. Ngoc Nguyen (Director), Dr. Melanie Autin, Dr. Tom Richmond

Degree Program

Department of Mathematics and Computer Science

Degree Type

Master of Science

Abstract

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.

Disciplines

Economics | Numerical Analysis and Scientific Computing | Other Applied Mathematics | Statistical Models