Estimating a mixing distribution in a multiple observation setting
Given unobservable i.i.d. r.v.'s Mi with c.d.f. F, and observable r.v.'s Yij with E(YijMi) = 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).
Year of publication: |
1990
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Authors: | Mack, Y. P. ; Matloff, Norman S. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 10.1990, 5, p. 369-376
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Publisher: |
Elsevier |
Keywords: | Mixing distribution multiple observation deconvolution Berry-Esséen nonparametric estimation asymptotic normality |
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