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Estimating a mixing distribution in a multiple observation setting
Authors:Y. P. Mack

Norman S. Matloff

Affiliation:

Division of Statistics, University of California, Davis, CA 95616, USA

Division of Computer Science, University of California, Davis, CA 95616, USA

Abstract:Given unobservable i.i.d. r.v.'s Mi with c.d.f. F, and observable r.v.'s Yij with E(Yij|Mi) = Mi; we study a nonparametric estimate of F based on the Yij's by conditioning and kernel techniques. This investigation extends previous works of Blischke (1965) and James (1978).
Keywords:Mixing distribution   multiple observation   deconvolution   Berry–Esséen   nonparametric estimation   asymptotic normality
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