In this paper, a numerical model is established to predict the phase change material (PCM) melting process in porous media. The heat transfer enhancement technique using metal foam in a shell-and-tube type latent heat thermal energy storage (LHTES) unit is investigated. The solid–liquid phase...

A regional low flow frequency analysis in the north of Iran using L-moments was carried out. Low flow events have been represented by the 7-day annual minimum series and the L-moments approach was used to assign these data into homogenous regions. According to the homogeneity measure and...

We study the maximum likelihood estimation of the dependence parameter of a general bivariate distribution using ranked set sampling. We compare the Fisher information about the dependence parameter in ranked set samples and simple random samples. Results are applied to the bivariate normal and...

We present a modification of a recently proposed test of symmetry about a known center. The new test uses Wilcoxon scores to weigh the runs and has a limiting normal distribution under the null hypothesis. A Monte Carlo study shows that it is more powerful than both the runs and Wilcoxon...

Box-Cox transformation system produces the power normal (PN) family, whose members include normal and lognormal distributions. We study the moments of PN and obtain expressions for its mean and variance. The quantile functions and a quantile measure of skewness are discussed to show that the PN...

We consider the efficiency and the power of the normal theory test for independence after a Box-Cox transformation. We obtain an expression for the correlation between the variates after a Box-Cox transformation in terms of the correlation on the normal scale. We discuss the efficiency of test...

We consider the efficient estimation of a bivariate distribution function (DF) under the class of radially symmetric distributions and propose an estimator based on the mean of the empirical distribution and survival functions. We obtain the mean and variance of the estimator and show that it...