Generalized Estimating Equations for Symmetric Distributions Observed with Admixture
In: Communications in statistics. Theory and methods, Jg. 40 (2011), Heft 1-3, S. 96-116
academicJournal
- print, 3/4 p
Zugriff:
A semiparametric two-component mixture model is considered, in which the distribution of one (primary) component is unknown and assumed symmetric. The distribution of the other component (admixture) is known. Generalized estimating equations are constructed for the estimation of the mixture proportion and the location parameter of the primary component. Asymptotic normality of the estimates is demonstrated and the lower bound for the asymptotic covariance matrix is obtained. An adaptive estimation technique is proposed to obtain the estimates with nearly optimal asymptotic variances.
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Generalized Estimating Equations for Symmetric Distributions Observed with Admixture
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Autor/in / Beteiligte Person: | MAIBORODA, Rostyslav ; SUGAKOVA, Olena |
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Zeitschrift: | Communications in statistics. Theory and methods, Jg. 40 (2011), Heft 1-3, S. 96-116 |
Veröffentlichung: | Philadelphia, PA: Taylor & Francis, 2011 |
Medientyp: | academicJournal |
Umfang: | print, 3/4 p |
ISSN: | 0361-0926 (print) |
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