2026-06-27T16:08:16Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/578352023-08-05T21:46:11Zcom_20.500.14352_14col_20.500.14352_15
Docta Complutense
author
Pardo Llorente, María del Carmen
2023-06-20T17:08:34Z
2023-06-20T17:08:34Z
1997-10-28
0377-0427
10.1016/S0377-0427(97)00124-6
https://hdl.handle.net/20.500.14352/57835
http://www.sciencedirect.com/science/article/pii/S0377042797001246
http://www.sciencedirect.com/
Fisher's method of maximum likelihood breaks down when applied to the problem of estimating the five parameters of a mixture of two normal densities from a continuous random sample of size n. Alternative methods based on minimum-distance estimation by grouping the underlying variable are proposed. Simulation results compare the efficiency as well as the robustness under symmetric departures from component normality of these estimators. Our results indicate that the estimator based on Rao's divergence is better than other classic ones.
eng
A comparison of some estimators of the mixture proportion of mixed normal distributions
journal article
URL
https://docta.ucm.es/bitstreams/46e0be9b-832b-4173-87bd-408b1c58f9e1/download
File
MD5
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application/pdf
PardoCarmen16.pdf
URL
https://docta.ucm.es/bitstreams/c7f9bafd-c359-4411-af76-f9ea16ed4a6f/download
File
MD5
ab254a63b3d9c2aa851fedecbf4b96a2
26562
text/plain
PardoCarmen16.pdf.txt