On the Kullback-Leibler information of hybrid censored data

被引：1

作者：

Park, Sangun ^{[1
]}

机构：

[1] Yonsei Univ, Dept Appl Stat, Seoul 120749, South Korea

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2016年 / 45卷 / 15期

基金：

新加坡国家研究基金会;

关键词：

Censored variable; Fisher information; Hazard function; Order statistics; Relative risk; 62N03; EXACT LIKELIHOOD INFERENCE; FISHER INFORMATION;

D O I：

10.1080/03610926.2014.921307

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

A hybrid censoring is a mixture of Type I and Type II censoring where the experiment terminates when either rth failure or predetermined censoring time comes first or later. In this article, we consider order statistics of the Type I censored data and provide a simple expression for their Kullback-Leibler (KL) information. Then, we provide the expressions for the KL information of the Type I and Type II hybrid censored data.

引用

页码：4486 / 4493

页数：8

共 50 条

[21] The Kullback-Leibler Information Function for Infinite Measures
Bakhtin, Victor
Sokal, Edvard
[J]. ENTROPY, 2016, 18 (12)
[22] Goodness-of-Fit Test Based on Kullback-Leibler Information for Progressively Type-II Censored Data
Rad, Arezou Habibi
Yousefzadeh, Fatemeh
Balakrishnan, Narayanaswamy
[J]. IEEE TRANSACTIONS ON RELIABILITY, 2011, 60 (03) : 570 - 579
[23] THE KULLBACK-LEIBLER DISTANCE
KULLBACK, S
[J]. AMERICAN STATISTICIAN, 1987, 41 (04): : 340 - 340
[24] The Kullback-Leibler autodependogram
Bagnato, L.
De Capitani, L.
Punzo, A.
[J]. JOURNAL OF APPLIED STATISTICS, 2016, 43 (14) : 2574 - 2594
[25] ON GENERALIZED CUMULATIVE INFORMATION OF KULLBACK-LEIBLER TYPE
Ciumara, Roxana
Panait, Ioana Ileana
[J]. PROCEEDINGS OF THE ROMANIAN ACADEMY SERIES A-MATHEMATICS PHYSICS TECHNICAL SCIENCES INFORMATION SCIENCE, 2018, 19 (04): : 529 - 536
[26] Kullback-Leibler distance as a measure of the information filtered from multivariate data
Tumminello, Michele
Lillo, Fabrizio
Mantegna, Rosario N.
[J]. PHYSICAL REVIEW E, 2007, 76 (03):
[27] Kullback-Leibler Information of Consecutive Order Statistics
Kim, Ilmun
Park, Sangun
[J]. COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS, 2015, 22 (05) : 487 - 494
[28] Kullback-Leibler Boosting
Liu, C
Shum, HY
[J]. 2003 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS, 2003, : 587 - 594
[29] Matrix CFAR detectors based on symmetrized Kullback-Leibler and total Kullback-Leibler divergences
Hua, Xiaoqiang
Cheng, Yongqiang
Wang, Hongqiang
Qin, Yuliang
Li, Yubo
Zhang, Wenpeng
[J]. DIGITAL SIGNAL PROCESSING, 2017, 69 : 106 - 116
[30] On the Kullback-Leibler information divergence of locally stationary processes
Dahlhaus, R
[J]. STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 1996, 62 (01) : 139 - 168

← 1 2 3 4 5 →