Estimation in Mixtures: The Rectangular Case

Lavanya, G.; Hara Gopal, V.V.; Narahari Pandit, S.N.

doi:10.18052/www.scipress.com/BMSA.2.13

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Estimation in Mixtures: The Rectangular Case

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Abstract:

In this paper we consider the mixture of two Rectangular Distributions. Methods used for estimating the parameters are (i) Moment ratio method (ii) Extreme value estimation (b), this problem has been addressed to some extent by Pavan Kumar (2003), in the context of obtaining stopping rule to estimate population minimum in sampling with replacement from a finite population. Extreme value estimate (b) method relatively better than moment ratio method, based on simulation, the percentage of acceptable estimators obtained in samples.

Info:

Periodical:

Bulletin of Mathematical Sciences and Applications (Volume 2)

Pages:

13-20

DOI:

https://doi.org/10.18052/www.scipress.com/BMSA.2.13

Citation:

G. Lavanya et al., "Estimation in Mixtures: The Rectangular Case", Bulletin of Mathematical Sciences and Applications, Vol. 2, pp. 13-20, 2012

Online since:

November 2012

Authors:

G. Lavanya, V.V. Hara Gopal, S.N. Narahari Pandit

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Open Access

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Creative Commons Attribution 4.0 International License

References:

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[5] Pavan Kumar(2003): An Empirical Investigation to Some Problems in Minimum Value estimation and one sided Probabilities : PhD thesis submitted to Osmania University.

[6] Peter F. Craigmile: Titterington D. M(1997): Parameter Estimation for Finite Mixtures of Uniform Distributions Communications in Statistics. 26, p.1981-(1995).

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DOI: https://doi.org/10.2307/1266232

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