Survival analysis of the gamma-ray burst data

作     者：Efron, Bradley Petrosian, Vahé 

作者机构：Professor/Chairman Statistics Department Stanford University CA 94305-4065 Professor of Health Research and Policy Department of Statistics Stanford University CA 94305-4065 Chairman of Astronomy Program and Professor of Physics and Applied Physics Departments Stanford University CA 94305-4065 We thank the SWiNE SMM and BATSE teams 

出 版 物：《Journal of the American Statistical Association》 

年 卷 期：1994年第89卷第426期

页      面：452-452页

学科分类：0202[经济学-应用经济学] 02[经济学] 020208[经济学-统计学] 07[理学] 0714[理学-统计学（可授理学、经济学学位）] 

主　　题：Bayesian statistics Climatic change Gaussian random fields 

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.