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)=
β¦ LIBER β¦
Deconvolving a density from contaminated dependent observations
β Scribed by Christian H. Hesse
- Publisher
- Springer Japan
- Year
- 1995
- Tongue
- English
- Weight
- 791 KB
- Volume
- 47
- Category
- Article
- ISSN
- 0020-3157
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