Modelling Heterogeneity in Repeated Failure Time Data: A Hierarchical Bayesian Approach-Reference-Cited by-同舟云学术

Modelling Heterogeneity in Repeated Failure Time Data: A Hierarchical Bayesian Approach

Published:2004 Issue: Volume: Page:71-86
ISSN:0884-8289
Container-title:International Series in Operations Research & Management Science
language:
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Author:

Arjas Elja,Bhattacharjee Madhuchhanda

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-1-4419-9021-1_4.pdf

Reference11 articles.

1. Arjas, E. and Bhattacharjee, M. (2001). Modelling heterogeneity/selection and causal influence in reliability. IISA-JSM 2000–2001 Conference, New Delhi, India.

2. Arjas, Elja. (2002). Predictive inference and discontinuities. Nonparametric Statistics, 14: 31–42.

3. Bhattacharjee, M., Arjas, E. and Pulkkinen, U. (2002). Modelling heterogeneity in nuclear power plant valve failure data. Third International Conference on Mathematical Methods in Reliability: Methodology and Practice, June 17–20, Trondheim, Norway.

4. Block, H. W. and Savits, T. H. (1997). Burn-in. Statistical Science, 12: 1–13.

5. Chen, J. and Singpurwalla, N. D. (1996). The notion of “Composite Re-liability” and its hierarchical Bayes estimation. J. of Amer. Stat. Assoc, 91: 1474–1484.

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