Likelihood Inference In Parallel Systems Regression Models With Censored Data

Likelihood Inference In Parallel Systems Regression Models With Censored Data

The work in this thesis is concerned with the investigation of the finite sample performance of asymptotic inference procedures based on the likelihood function when applied to the regression model based on parallel systems with censored data. The study includes investigating the adequacy of thes...

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书目详细资料
主要作者:	S.M.Baklizi, Ayman
格式:	Thesis
语言:	English English
出版:	1997
主题:	Inference Censored observations (Statistics)
在线阅读:	http://psasir.upm.edu.my/id/eprint/11294/1/FSAS_1997_3_A.pdf
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