Best efficient estimates of the intensity function of the power law process
作者:
Hongzhu Qiao,
ChrisP. Tsokos,
期刊:
Journal of Applied Statistics
(Taylor Available online 1998)
卷期:
Volume 25,
issue 1
页码: 111-120
ISSN:0266-4763
年代: 1998
DOI:10.1080/02664769823340
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
We develop a general statistical procedure to obtain linearly the best efficient estimate of existing estimations of the parameter of a probability process. This procedure is used to obtain the best efficient estimates of the shape parameter, the intensity failure function and its reciprocal of the power law process. These estimates are important in the study of reliability growth modelling. The effectiveness of our findings is illustrated analytically and numerically, using real data and numerical simulations.
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