تجاوز إلى المحتوى الرئيسي

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

ملخص البحث

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.

مؤلف البحث
M. A. W. Mahmoud,
H. M. Moustafa
قسم البحث
مجلة البحث
Mathematical and Computer Modelling
مؤلف البحث
صفحات البحث
Pages 87-95
تصنيف البحث
1
عدد البحث
Volume 18 Issue 5
موقع البحث
Elsevier Science Publishers
سنة البحث
1993