Abstract
Consider truncated samples taken from an infinite population with a fixed uumber n of observations recorded. A randon number X of items must be sampled in order to observe after trunca-tion. adified maximun liicel.ihooa estimators of X (assumed un-'mown) and of the population parameters are develo~cd, and a computing scheme is given for the exponential distribution. On the basis of asymptotu ,operties, some estimators are singled out and compared with the usual maximum likelihood estimators.
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