Bayesian design for accelerated life testing

Journal of Statistical Planning and Inference

Volumn 33, Issue 2, 1992, Pages 245-259

  Chaloner, Kathryn ^a   Larntz, Kinley ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Optimal design; reliability testing

Indexed keywords

EID: 0000044822     PISSN: 03783758     EISSN: None     Source Type: Journal    
DOI: 10.1016/0378-3758(92)90071-Y     Document Type: Article

References (21)

1. Inference from accelerated life tests using filtering in coloured noise
2. An approach to design for generalized linear models
3. Optimal Bayesian experimental design applied to logistic regression experiments
4. Locally optimal designs for estimating parameters
5. Optimal accelerated life designs for estimation
6. Model robust, linear-optimal designs
7. Elements of the Fisher information matrix for the smallest extreme value distribution and censored data
8. Experimental design in a class of models
9. A comparison of accelerated life test plans for Weibull and lognormal distributions and type I censoring
10. How to plan an accelerated life test
11. A simplex method for function minimization
12. Theory for optimum censored accelerated life tests for normal and lognormal life distributions
13. Theory for optimum accelerated life tests for Weibull and extreme value distributions
14. Testing hypotheses for distributions in accelerated life tests
15. A Bayesian approach for quantile and response probability estimation with applications to reliability
16. Some general points in the theory and construction of D-optimum experimental designs