The novel Balakrishnan skew-normal distribution was introduced in 2008. The only known scheme for simulating from this distribution is based on acceptance/rejection sampling. Here, we introduce an alternative scheme that is more efficient. We also derive various stochastic representations for...

Soltani and Shirvani (Comput Stat 25:155–161, <CitationRef CitationID="CR10">2010</CitationRef>) proposed a scheme for simulating truncated stable random variables. That involves solving a nonlinear transformation in each realization. Here, we propose alternative schemes to generate truncated stable random variables. Our schemes are more...</citationref>

On the basis of some characteristics such as quantile function and skewness coefficient of th upper/lower record of a given absolutely continuous distribution, as well as a confidence interval for th upper/lower record statistic of a two-parameter Weibull model, a point estimator for shape...

We develop several new composite models based on the Weibull distribution for heavy tailed insurance loss data. The composite model assumes different weighted distributions for the head and tail of the distribution and several such models have been introduced in the literature for modeling...

The zero-truncated Poisson–Lindley distribution is introduced and investigated. In particular, the method of moments and maximum likelihood estimators of the distribution’s parameter are compared in small and large samples. Application of the model to real data is given.

Flood events of the Pachang River, one of the major rivers in Taiwan, are modeled by extreme value distributions. Flood events are characterized by its peak, volume, duration and the time of peak. Flood volume and peak are fitted to a generalized extreme value distribution. Flood duration and...

We investigate the problem of simultaneous estimation of multivariate normal mean vector using Zellner (1994)’s balance loss function when common variance σ2 is unknown. We first find a class of minimax estimators for this problem which extends a class given by Chung et al. (1999). This...

The problem of estimating the mean vector μ of a multivariate normal distribution with the covariance matrix σ2Ip is considered under the loss function, (δ−μ)′D(δ−μ)σ2, where σ2 is unknown and D is a known positive definite diagonal matrix. A large class of Bayes minimax estimators...