%0 Journal Article
%T On the skewed sinh-normal distribution
%A Ahmed Saad
%A S. K. Ashour
%J -
%D 2015
%R 10.14419/ijasp.v3i1.4610
%X Leiva et al. [10] introduce the skewed sinh-normal distribution, which is a skewed version of the sinh-normal distribution, discussed some of its properties and characterized an extension of the Birnbaum¨CSaunders distribution associated with this distribution. In this paper, we will introduce further properties of the skewed sinh-normal distribution, and introduce a new approximate form of its probability density function and cumulative distribution function (cdf), along with numerical comparison between the exact and approximate values of its cdf. Moreover, a random number generator for the distribution will be suggested and a goodness of fit test will be carried out to examine the effectiveness of the proposed random number generator. Finally, maximum likelihood estimation for the unknown parameter of the skewed sinh-normal distribution will be investigated, and numerical illustration for the new results will be discussed.
%U https://www.sciencepubco.com/index.php/IJASP/article/view/4610