Optimal reconstruction of a generally censored sample

Some order statistics from a univariate random sample of known size, drawn from a random variable X, are censored or lost. We are concerned with the problem of estimating how many observations we have lost within each interval between the remaining (observed) order statistics (including - [infinity] and + [infinity] among the remaining order statistics), in order to infer the unknown structure of the original sample.

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Year of publication:	1992
Authors:	Gastaldi, Tommaso
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 14.1992, 5, p. 393-399
Publisher:	Elsevier
Keywords:	Censoring truncation order statistics Kolmogorov-Smirnov statistic decision theory ML estimate life-test

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

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