Density estimation for data with rounding errors
β Scribed by Wang, B.; Wertelecki, W.
- Book ID
- 120412745
- Publisher
- Elsevier Science
- Year
- 2013
- Tongue
- English
- Weight
- 536 KB
- Volume
- 65
- Category
- Article
- ISSN
- 0167-9473
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π SIMILAR VOLUMES
In this paper we consider logspline density estimation for binned data. Rates of convergence are established when the log-density function is assumed to be in a Besov space. An algorithm involving a procedure similar to maximum likelihood, stepwise knot addition, and stepwise knot deletion is propos
In this study bivariate kernel density estimators are considered when a component is subject to random truncation. In bivariate truncation models one observes the i.i.d. samples from the triplets (T, Y, X) only if T Y. In this set-up, Y is said to be left truncated by T and T is right truncated by Y