Morgenstern type bivariate Lindley Distribution

Autor:	V. S. Vaidyanathan, A Sharon Varghese
Rok vydání:	2016
Předmět:	Statistics and Probability Control and Optimization Distribution (number theory) Mean squared error Bivariate analysis 01 natural sciences 010104 statistics & probability symbols.namesake Artificial Intelligence Statistics 0101 mathematics Mathematics 05 social sciences 050301 education Failure rate Function (mathematics) Moment-generating function Pearson product-moment correlation coefficient Farlie-Gumbel-Morgenstern family maximum likelihood estimation mean residual life vector hazard rate vitality function Survival function Signal Processing symbols Computer Vision and Pattern Recognition lcsh:Probabilities. Mathematical statistics Statistics Probability and Uncertainty lcsh:QA273-280 0503 education Information Systems
Zdroj:	Statistics, Optimization and Information Computing, Vol 4, Iss 2, Pp 132-146 (2016)
ISSN:	2310-5070 2311-004X
DOI:	10.19139/soic.v4i2.183
Popis:	In this paper, a bivariate Lindley distribution using Morgenstern approach is proposed which can be used for modeling bivariate life time data. Some characteristics of the distribution like moment generating function, joint moments, Pearson correlation coefficient, survival function, hazard rate function, mean residual life function, vitality function and stress-strength parameter R=Pr(Y
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f0a4d4b7199891f179809f72fb8c708 https://doi.org/10.19139/soic.v4i2.183 Zobrazit plný text záznamu