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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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