Optimal reconstruction of a generally censored sample

Tommaso Gastaldi

Statistics & Probability Letters, 1992, vol. 14, issue 5, 393-399

Abstract: 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.

Keywords: Censoring; truncation; order; statistics; Kolmogorov--Smirnov; statistic; decision; theory; ML; estimate; life-test (search for similar items in EconPapers)
Date: 1992
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