Many posterior distributions take intractable forms and thus require variational inference where analytical solutions cannot be found. Variational Inference and Monte Carlo Markov Chains (MCMC) are es- tablished mechanism ...

Bayes analysis of the normal model has been thoroughly investigated by numerous statisticians and reported in the literature. The explicit form of the Bayes estimators under LINEX loss will be derived, which has not been ...

OBJECTIVE : In intervention research, the decision to continue developing a new program or treatment is dependent on both the change-inducing potential of a new strategy (i.e., its effect size) and the methods used to ...

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The traditional (frequentist) tr -chart is a Shewhart-type chart useful for monitoring times between events (interarrival times) following an exponential distribution. This problem often arises in high-yield processes where ...

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In this paper we propose the beta slashed generalised half-normal distribution, which includes some important distributions such as the half-normal, slashed half-normal and generalised slashed half-normal distributions. ...

In this article, the bimatrix variate beta Type IV distribution is derived from independent Wishart distributed matrix variables. We explore specific properties of this distribution which is then used to derive the exact ...

In this article, a bivariate generalisation of the gamma distribution is proposed by using an unsymmetrical bivariate characteristic function; an extension to the non central case also receives attention. The probability ...

The logistics and cost of running large class tutorials to improve learning for students in high enrolment courses raise questions about whether the associated effort and cost are worthwhile. The option to replace these ...