Deconvolving a Density from Partially Co
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C.H. Hesse
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Article
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1995
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Elsevier Science
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English
โ 480 KB
We consider the problem of estimating a continuous bounded probability density function when independent data \(X_{1}, \ldots, X_{n}\) from the density are partially contaminated by measurement error. In particular, the observations \(Y_{1}, \ldots, Y_{n}\) are such that \(P\left(Y_{i}=X_{i}\right)=