Estimation of the parameter in the discrete "Taxi" problem, with and without replacement
Citation:Largey, Ann; Spencer, John E. 'Estimation of the parameter in the discrete "Taxi" problem, with and without replacement'. - Economic & Social Review, Vol. 27, No. 2, January, 1996, pp. 119-136, Dublin: Economic & Social Research Institute
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In the continuous uniform distribution [0,N], the Maximum Likelihood estimator of N is known to possess high mean square error for large samples. This paper examines this issue in the discrete case, without replacement (extending the work of Tenenbein) and with replacement. Various other estimators including the Minimum Variance Unbiased estimator and Geary's closest estimator are compared in the continuous and two discrete cases. Recommendations are made for choice of estimator in each case, depending on the sample size and on imprecise information on N.
Publisher:Economic & Social Research Institute
Type of material:Journal Article
Availability:Full text available