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Showing 2 results for posterior Distribition
Masoud Ghasemi Behjani, , Volume 21, Issue 2 (3-2017)
Abstract
In this article, the method of determining the optimal sample size is based on Linex asymmetric loss function and has been expressed through Bayesian method for normal, Poisson and exponential distributions. The desirable sample size has been calculated through numerical method. In numerical method, the average posterior risk is calculated and then it is added to the Lindley linear cost function to achieve the average of the total cost. Then, the diagram of sample size is drawn in comparison to the average of total cost and eventually, the optimal sample size that minimizes the cost has been achieved.
Shahram Yaghoobzadeh Shahrastani Shahram Yaghoobzadeh, Volume 22, Issue 1 (12-2017)
Abstract
In this paper, a new distribution of the three-parameter lifetime model called the Marshall-Olkin Gompertz is proposed on the basis of the Gompertz distribution. It is a generalization of the Gompertz distribution having decreasing failure rate and can also be increasing and bathtub-shaped depending on its parameters. The probability density function, cumulative distribution function, hazard rate function and some mathematical properties of this model such as, central moments, moments of order statistics, Renyi and Shannon entropies and quantile function are derived. In addition, the maximum likelihood of its parameters method is estimated and this new distribution compared with some Gompertz distribution generalizations by means of a set of real data.
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