eng Science and Education Publishing American Journal of Applied Mathematics and Statistics 2328-7292 2016-07-11 4 3 94 98 10.12691/ajams-4-3-5 AJAMS2016435 article Dina H. Abdel Hady dinaabdelhady44@gmail.com 1 Rania, M. Shalaby 2 Department of Statistics, Mathematics and Insurance, Faculty of Commerce, Tanta University The Higher Institute of Managerial Science, Culture and Science City, 6th of October New parameters can be introduced to expand families of distributions for added flexibility or to construct covariate models and this could be done in various ways. In this article, we generalize the Laplace distribution using the quadratic rank transmutation map studied by Shaw et al. (2007) to develop a transmuted Laplace distribution (TLD). We provide a comprehensive description of the mathematical properties of the subject distribution along with its reliability behavior. To show that the TLD distribution can be a better model than one based on the LD distribution we use a real data set of number of million revolutions before failure for each of the 23 ball bearings in the life tests and The usefulness of the transmuted Laplace distribution for modeling reliability data is illustrated. http://pubs.sciepub.com/ajams/4/3/5/ajams-4-3-5.pdf Laplace distribution maximum likelihood estimation moments order statistics likelihood ratio test