Asymptotic Properties of Likelihood Ratio Statistics in Competing Risks Model Under Interval Random Censoring

被引：0

作者：

Abdushukurov, A. A. ^{[1
]}

Nurmukhamedova, N. S. ^{[2
]}

机构：

[1] Moscow MV Lomonosov State Univ, Tashkent Branch, Tashkent 100060, Uzbekistan

[2] Natl Univ Uzbekistan, Tashkent 100174, Uzbekistan

来源：

LOBACHEVSKII JOURNAL OF MATHEMATICS | 2021年 / 42卷 / 12期

关键词：

competing risks; random censoring; likelihood ratio statistics; local asymptotical normality; uniform asymptotical normality; asymptotic efficiency; TESTS;

D O I：

10.1134/S1995080221120027

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In this paper we consider local asymptotic normality of likelihood ratio statistics in competing risks model under random censoring by nonobserving intervals. Using the property of local asymptotic normality we investigate asymptotic properties of Bayesian type estimates for unknown parameter and prove its asymptotic efficiency.

引用

页码：2687 / 2696

页数：10

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