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Estimation of an Exponential Distribution

Published online by Cambridge University Press:  27 July 2009

Mark Brown
Mark Brown
Affiliation:
Department of Mathematics, The City College, Cuny, New York, New York 10031
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Abstract

Consider a sample from an exponential distribution with unknown parameter θ From the sample, we wish to estimate the entire distribution, (Borel sets). If an estimator is used for , we are concerned with proximity of to , under total variation distance, the maximum likelihood estimate of θ, define , where , the 1 – (a/2) percentile from the standard normal. Then, . The preceding approximation to the 1 — α percentile of is very accurate even for small n We also consider the problem of obtaining a confidence band for the survival function, possessing minimal maximum width. Finally, a class of estimators of is compared to the maximum likelihood estimator from the viewpoint of total variation distance loss function.

Information

Type
Research Article
Information
Probability in the Engineering and Informational Sciences , Volume 11 , Issue 3 , July 1997 , pp. 341 - 359
Copyright
Copyright © Cambridge University Press 1997

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