A Normal Truncated Skewed-Laplace Model in Stochastic Frontier Analysis

<p>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.</p>

Name thesis:degree_name

Master of Science

Discipline thesis:degree_discipline

Department of Mathematics and Computer Science

Year

2012

Author dc:creator

• Wang, Junyi

Contributors dc:contributor

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

• economic modeling
• production efficiency
• kurtosis
• Economics
• Numerical Analysis and Scientific Computing
• Other Applied Mathematics
• Statistical Models

Repository record dc:identifier

https://digitalcommons.wku.edu/theses/1177

OAI identifier oai:identifier

oai:digitalcommons.wku.edu:theses-2180