جستجوی مقالات مرتبط با کلیدواژه "maximum liklihood estimation" در نشریات گروه "ریاضی"

Gompertz-Poisson distribution is a three-parameter lifetime distribution with increasing, decreasing, increasing-decreasing and unimodal shape failure rate function and a composition of Gompertz and Poisson distributions cut at zero point that in this paper estimated the parameters of the distribution by maximum likelihood method and in order to confirm the calculated estimates, based on random sample with volumes of 100, 200, 300, 400 and 500 of Gompertz-Poisson distribution simulation study was conducted. Also with the help of two real data sets and comparing Gompertz-Poisson distribution with several other distributions of lifetime we show this distribution is a good model for data fitness related to lifetime.

In this article we want families beta-G distributions with family Zgrafos-Balakryshnan- G where G is a distribution of power series is a family of distributions using goodness of fit test statistics and risk and exchange rate risk, inverse functions, using monte carlo simulation and two sets actual data comparison and show that beta-G family of distributions model more suitable for distribution of a lifetime.