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Title
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برآورد پارامتر ها در توزيع لجستيك دومتغيره مورگنشترن
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Type
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Thesis
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Keywords
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Morgenstern type bivariate logistic distribution, ranked set sample
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Abstract
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Discussion estimation and followed of finding efficient estimator constitutes one of the main issues in statistical inference. Point estimation , interval , and recently estimates of the Bayes estimation are some of the methods used for this purpose.
The first chapter of this thesis will include introducing concomitants of record values in Morgenstern type bivariate logistic distribution.
In the second chapter, the best linear unbiased estimator has been defined as two parameters $\theta_{2}$ and $\sigma_{2}$ in the Morgenstern type bivariate logistic family is calculated based on censored sample and complet sample. And then calculate the values of the efficiency of estimators using Matlab software. In the third chapter ,obtained unbiased estimators of parameters $\theta_{2}$ and $\sigma_{2}$ based on ranked set sample.Efficiency comparison among these estimators are also made.
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Researchers
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Mahmoud Afshari (Primary advisor) , Saeid Tahmasebi (Primary advisor) , Fazlollah Lak (Advisor)
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