Survival Analysis of the Gamma-Ray Burst Data
作者:
Bradley Efron,
Vahé Petrosian,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1994)
卷期:
Volume 89,
issue 426
页码: 452-462
ISSN:0162-1459
年代: 1994
DOI:10.1080/01621459.1994.10476767
出版商: Taylor & Francis Group
关键词: Cumulative event rates;Gamma-ray bursts;Hazard rate modeling;Lynden-Bell's method;Truncated data
数据来源: Taylor
摘要:
Gamma-ray bursts are short but powerful pulses of electromagnetic radiation coming from space. Specially equipped satellites have observed the arrival of several hundred bursts during the past two decades. The origin of these bursts, whether from near the earth, across the galaxy, or out of the deep cosmos, has become a major question for astronomers. At the heart of this question lies a statistical puzzle relating to familiar issues in survival analysis: Kaplan-Meier-type curves, data truncation, hazard rate analysis, Mantel-Haenszel statistics, and so on. Survival analysis is used here to critically examine two different models that have been proposed for the gamma-ray burst data. The analysis contradicts one of these models.
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