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GAMMA Renewal Function in Censored Data
Author(s) -
Çiğdem Cengiz,
Halil Aydoğdu
Publication year - 2015
Publication title -
bitlis eren university journal of science and technology
Language(s) - English
Resource type - Journals
ISSN - 2146-7706
DOI - 10.17678/beujst.09962
Subject(s) - estimator , statistics , mathematics , maximum likelihood , parametric statistics , sampling (signal processing) , econometrics , m estimator , function (biology) , computer science , evolutionary biology , biology , filter (signal processing) , computer vision
In this study, the renewal process whose times between the intervals are gamma-diffused has been examined. In the situation where the sampling is Randomly Right Censored, a Parametric Estimator is recommended, which depends on the Maximum Likelihood Estimators of the unknown parameters of the gamma diffusion; and the statistical characteristics of these estimators have been investigated.

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