THE SEPARATION OF FINITE MIXTURES OF DISTRIBUTIONS
DOI:
https://doi.org/10.30888/2415-7538.2020-18-01-027Keywords:
Finite mixtures of distributions, estimates of parameters, Expectation-Maximization algorithm, maximum likelihood estimationAbstract
The work is devoted to the study of various methods for constructing estimates of parameters of finite mixtures of distributions, classical algorithms and their applications. The main focus was on maximum likelihood estimation, the Expectation-MaximizatioMetrics
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References
Pearson, K. (1894) Contributions to the Mathematical Theory of Evolution., 185, 71-110.
Behboodian, J. On the modes of a mixture of two normal distributions. Technometrics, 12(1), pp. 131–139, 1970.
Eisenberger, I. Genesis of bimodal distributions. Technometrics, 6(4), pp. 357–363, 1964.
Dempster, A., Laird, N., and Rubin, D. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society. Series B (Methodological), 39(1), pp. 1–38, 1977.
Everitt, B. and Hand, D. Finite Mixture Distributions. Chapman and Hall, London, 1981.
Published
2021-01-01
How to Cite
Чи, А., & Пахомова, А. (2021). THE SEPARATION OF FINITE MIXTURES OF DISTRIBUTIONS. Scientific Look into the Future, 1(18-01), 23–28. https://doi.org/10.30888/2415-7538.2020-18-01-027
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