Characterization of a New Class of Generalized Pearson Distribution by Truncated Moment

dc.contributor.author	Shakil, M.
dc.contributor.author	Kibria, B.M. Golam
dc.contributor.author	Singh, J. N.
dc.date.accessioned	2018-08-01T05:35:33Z
dc.date.available	2018-08-01T05:35:33Z
dc.date.issued	2016
dc.identifier.issn	2384-4795
dc.identifier.uri	https://journal.uob.edu.bh:443/handle/123456789/2032
dc.description.abstract	A probability distribution can be characterized through various methods. In this paper, by using truncated moment, we present some characterizations of a new class of generalized Pearson distribution introduced by Shakil and Singh [12].	en_US
dc.language.iso	en	en_US
dc.publisher	University of Bahrain	en_US
dc.rights	Attribution-NonCommercial-ShareAlike 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/4.0/	*
dc.subject	Characterization
dc.subject	Generalized Pearson system of distribution
dc.subject	Truncated moment
dc.title	Characterization of a New Class of Generalized Pearson Distribution by Truncated Moment	en_US
dc.type	Article	en_US
dc.identifier.doi	http://dx.doi.org/10.12785/IJCTS/030206
dc.volume	03
dc.issue	02
dc.source.title	International Journal of Computational and Theoretical Statistics
dc.abbreviatedsourcetitle	IJCTS