Skip to main content

Estimation of a discriminant function from a mixture of two gamma distributions when the sample size is small

Research Authors
M. A. W. Mahmoud,
H. M. Moustafa
Research Abstract

A procedure is presented for finding maximum likelihood estimates of the parameters of a mixture of two gamma distributions; those results are given for classified and unclassified observations. The performance of the estimates based on small samples is studied by simulation experiments. Estimation of the discriminant function on the basis of a small sample size is considered. Its performance is investigated by a series of simulation experiments.

Research Department
Research Journal
Mathematical and Computer Modelling
Research Rank
1
Research Vol
Volume 18 Issue 5
Research Website
Elsevier Science Publishers
Research Year
1993
Research Pages
Pages 87-95