Normal-Rayleigh Stochastic Production Frontier Model


Abstract views: 6 / PDF downloads: 3

Authors

  • S. Kannaki Department of Mathematics, Avinashilingam University, Coimbatore, Tamil Nadu, India
  • L. Mary Louis Department of Mathematics, Faculty of Engineering, Avinashilingam University, Coimbatore, Tamil Nadu, India

Keywords:

Rayleigh distribution, Normal-Rayleigh stochastic production frontier model, Technical efficiency, Maximum likelihood estimation

Abstract

In the production field, Stochastic Production Frontier Analysis (SPFA) plays a principal role in the measurement of technical efficiency. This paper presents the derivation of Normal-Rayleigh Stochastic Production Frontier Model (NRSPFM)for the estimation of technical efficiency. By using Maximum likelihood estimation method, the parameters of the model were evaluated.

Downloads

Published

15-12-2017

How to Cite

S. Kannaki, & L. Mary Louis. (2017). Normal-Rayleigh Stochastic Production Frontier Model. International Journal of Mathematics And Its Applications, 5(4 - E), 741–746. Retrieved from https://ijmaa.in/index.php/ijmaa/article/view/1334

Issue

Vol. 5 No. 4 - E (2017)

Section

Research Article

License

Copyright (c) 2023 International Journal of Mathematics And its Applications

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.