A COMPARATIVE STUDY OF VARIOUS METHODS
OF ESTIMATION FOR GOMPERTZ-LINDLEY DISTRIBUTION
Fatmah Almathkour1, A. Alothman1, M.E. Ghitany1,
Ramesh C. Gupta2, J. Mazucheli3
1Department of Statistics and Operations Research
Faculty of Science, Kuwait University, KUWAIT
2Department of Mathematics and Statistics
University of Maine, Orono, Maine, USA
3Department of Statistics
Universidade Estadual de Maringà
Maringà, PR, BRAZIL

Abstract

This paper deals with a comparative study of different methods of estimation for Gompertz-Lindley distribution. Simulation studies are carried out and the most efficient estimator is the one whose bias is close to zero with smaller mean-square error. A real data set is analyzed to illustrate the different procedures.

Citation details of the article



Journal: International Journal of Applied Mathematics
Journal ISSN (Print): ISSN 1311-1728
Journal ISSN (Electronic): ISSN 1314-8060
Volume: 35
Issue: 2
Year: 2022

DOI: 10.12732/ijam.v35i2.12

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