Estimation of a common parameter for pooled samples from the uniform distributions
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The problem to estimate a common parameter for the pooled sample from the uniform distributions is discussed in the presence of nuisance parameters. The maximum likelihood estimator (MLE) and others are compared and it is shown that the MLE based on the pooled sample is not (asymptotically) efficient.
Key words and phrasesMaximum likelihood estimator weighted estimator uniform distributions
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- Antoch, J. (1984). Behaviour of estimators of location in non-regular cases: A Monte Carlo study, Asymptotic Statistics 2,the Proceedings of the 3rd Prague Symposium on Asymptotic Statistics, 185–195, North-Holland, Amsterdam.Google Scholar