GEE Estimators in Mixture Model with Varying Concentrations

Oleksii Doronin; Rostislav Maiboroda

doi:10.18778/0208-6018.314.03

Authors

Oleksii Doronin Taras Shevchenko National University of Kyiv
Rostislav Maiboroda Taras Shevchenko National University of Kyiv

DOI:

https://doi.org/10.18778/0208-6018.314.03

Keywords:

mixture model, semiparametric estimation, GEE

Abstract

We discuss semiparametric mixture model where some components are parametrized with common Euclidean parameter and others are fully unknown. We introduce GEE approach and adaptive GEE-based approach for parameter estimation. Proposed estimators are tested on simulated sample.

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Author Biographies

Oleksii Doronin, Taras Shevchenko National University of Kyiv

Faculty of Mechanics and Mathematics, Ph. D. student.

Rostislav Maiboroda, Taras Shevchenko National University of Kyiv

Faculty of Mechanics and Mathematics, Professor, Ph. D.

References

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