MMK for heterogeneous data: identifiability, estimation and application-Reference-Cited by-同舟云学术

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MMK for heterogeneous data: identifiability, estimation and application

Published:2019-05-24 Issue:3 Volume:38 Page:
ISSN:2238-3603
Container-title:Computational and Applied Mathematics
language:en
Short-container-title:Comp. Appl. Math.

Author:

Otiniano C. E. G.,de Morais T. C.,Gonçalves C. R.,Levicoy C. E.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics

Link

http://link.springer.com/content/pdf/10.1007/s40314-019-0884-7.pdf

Reference29 articles.

1. Ahmad KE, Abd-El-Hakim NS (1990) The identifiability of finite mixing of some noncentral distributions. Appl Math Lett 3:1–3

2. Ahmad KE, Jaheen ZF, Modhesh AA (2010) Estimation of a discriminant function based on small sample size from a mixture of two gumbel distributions. Commun Stat Simul Comput 39:713–725

3. Al-Hussaini EK, Ahmad KE (1981) On the identifiability of finite mixture of distributions. TEEE Trans Inf Theory 27:664–668

4. Ali M, Mahmoud MR (2016) The new Kumaraswamy Kumaraswamy Weibull distribution with application. Pak J Stat Oper Res 12:1–20

5. Atienza N, Garcia-Heras J, Muñoz-Pichardo J (2006) A new condition for identifiability of finite mixture distributions. Metrika 63:215–221

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