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

✍ Scribed by M.A.W. Mahmoud; H.M. Moustafa

Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
678 KB
Volume
18
Category
Article
ISSN
0895-7177

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✦ Synopsis

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.

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Updating a nonlinear discriminant functi
Updating a nonlinear discriminant function estimated from a mixture of two Weibull distributions
✍ K.E. Ahmad; A.M. Abd-Elrahman πŸ“‚ Article πŸ“… 1994 πŸ› Elsevier Science 🌐 English βš– 837 KB

procedure is presented for finding maximum likelihood estimates of the parameters of a mixture of two Weibull distributions. Estimation of a nonlinear discriminant function on the basis of small sample size is considered. Throughout simulation experiments, the total probabilities of misclassificatio