A New Generalization to Laplace Distribution
In this paper, we propose a two-parameter version of the double Lindley distribution introduced and studied by Kumar and Jose, which can also be viewed as a generalization of the well-known Laplace distribution. We derive several important properties of the distribution and define a location-scale extension of it. We discuss the maximum likelihood estimation using EM algorithm for estimating the parameters of the distribution and fitted the distribution to certain real life data sets for illustrating the practical utility of the model. Further, a simulation study is carried out for examining the performance of likelihood estimators of the parameters of the distribution based on EM algorithm.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.