CONSISTENCY OF MAXIMUM LIKELIHOOD ESTIMATORS IN SOME RELIABILITY GROWTH MODELS.
ROCKETDYNE CANOGA PARK CALIF
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Properties of maximum likelihood estimators of parameters in some sample reliability growth models are investigated. In one model the underlying process is a Markov chain and the estimator of the single unknown parameter is proved consistent. In another model it is shown that no estimators can be consistent. Related estimation problems in sequences of geometric distributions are discussed. Author
- Statistics and Probability
- Manufacturing and Industrial Engineering and Control of Production Systems