Estimation Problems with Data from a Mixture

G. D. Murray and D. M. Titterington

Journal of the Royal Statistical Society Series C, 1978, vol. 27, issue 3, 325-334

Abstract: The problem of estimating density functions using data from different distributions, and a mixture of them, is considered. Maximum likelihood and Bayesian parametric techniques are summarized and various approaches using distribution‐free kernel methods are expounded. A comparative study is made using the halibut data of Hosmer (1973) and the problem of incomplete data is briefly discussed.

Date: 1978
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