Hazard rate estimation for strong-mixing and censored processes

Autor:	Jean Pierre Lecoutre, Elias Ould-Saǐd
Rok vydání:	1995
Předmět:	Statistics and Probability Pointwise Estimation Hazard ratio Statistics Process (computing) Statistics Probability and Uncertainty Mixing (physics) Mathematics
Zdroj:	Journal of Nonparametric Statistics. 5:83-89
ISSN:	1029-0311 1048-5252
DOI:	10.1080/10485259508832636
Popis:	It is shown that a kernel-type estimate for the hazard rate is pointwise, as well as uniformly, strongly consistent, from a strongly mixing process and randomly right-censored samples.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9186e37797acca8123dd550f8e5503c2 https://doi.org/10.1080/10485259508832636 Zobrazit plný text záznamu