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A Comparison between Maximum Likelihood and Bayesian Estimation Methods for a Shape Parameter of the Weibull-Exponential Distribution

Terna G. Ieren & Pelumi E. Oguntunde · Asian Journal of Probability and Statistics · 2018

We considered the Bayesian analysis of a shape parameter of the Weibull-Exponential distribution in this paper. We assumed a class of non-informative priors in deriving the corresponding posterior distributions. In particular, the Bayes estimators and associated risks were calcul...

Open access Research Article 10.9734/ajpas/2018/v1i124504

Spectrum of Sex Ratios in Denmark

Johan Fellman · Asian Journal of Probability and Statistics · 2018

The sex ratio (SR) is usually defined as the number of males per 100 females within an area or, as in this study, the proportion of males among all births (PM). It has been observed that among newborns, there is typically a slight excess number for boys compared to girls. Consequ...

Open access Research Article 10.9734/ajpas/2018/v1i124502

Measuring the Cost for Some Single Channel Waiting Line Models

Doaa A. Ali, Elham A. Ismail & Lobna E. AL-Tayeb · Asian Journal of Probability and Statistics · 2018

Queuing models applications are centered on the question of finding the ideal level of services, waiting times and queue lengths. The aim of this study is to measure the cost for three models and compare the cost for the three single channel waiting line models instead of finding...

Open access Research Article 10.9734/ajpas/2018/v1i124499

Some Characterizations of Transmuted Modified Burr III Distribution

Fiaz Ahmad Bhatti, G. G. Hamedani, Azeem Ali & Munir Ahmad · Asian Journal of Probability and Statistics · 2018

In this paper, Transmuted Modified Burr III (TMBIII) distribution (Ali and Ahmad; 2015) is characterized through  (i) ratio of truncated moments; (ii) doubly truncated moments; (iii) hazard rate function; (iv) reverse hazard rate function and (v) elasticity function. The applicat...

Open access Research Article 10.9734/ajpas/2018/v1i124498

Mathematical Programming for Statistical Inference

Abeer M. M. Elrefaey, Ramadan Hamid, Elham A. Ismail & Safia M. Ezzat · Asian Journal of Probability and Statistics · 2018

The study is concerned with the transforming theoretical Mathematical models into applied Mathematical programming models that are easy to handle and use. These Mathematical programming models can be applied and used in statistical inference, which used in many applied fields, fo...

Open access Research Article 10.9734/ajpas/2018/v1i124495