𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Asymptotic Properties of a Nonparametric Regression Function Estimator with Randomly Truncated Data

✍ Scribed by Elias Ould-Saïd; Mohamed Lemdani

Publisher
Springer Japan
Year
2006
Tongue
English
Weight
260 KB
Volume
58
Category
Article
ISSN
0020-3157

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Nonparametric Bayes estimation of a dist
Nonparametric Bayes estimation of a distribution function with truncated data
✍ Mauro Gasparini 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 411 KB

A truncation bias affects the observation of a pair of variables (X, Y), so that data are available only if Y ~<X. In such a situation, the nonparametric maximum likelihood estimator (NPMLE) of the distribution function of Y may have unpleasant features (Woodroofe, Ann. Statisr 13 (1985) 163-177). A

Nonparametric Estimation of the Bivariat
Nonparametric Estimation of the Bivariate Survival Function with Truncated Data
✍ Mark J. van der Laan 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 766 KB

Randomly left or right truncated observations occur when one is concerned with estimation of the distribution of time between two events and when one only observes the time if one of the two events falls in a fixed time-window, so that longer survivial times have higher probability to be part of the