Some Useful Statistical Methods for Truncated Data

Article

Kalbfleisch, J.D.; Lawless, J.F.   (1992, ASQC)   University of Waterloo

Journal of Quality Technology    Vol. 24    No. 3
QICID: 11343    July 1992    pp. 145-152
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Article Abstract

Truncated data arise when a variable is observable only over some portion of its range. This paper describes how truncated data arise in studies of the field performance or reliability of manufactured items. Failure to account for truncation can lead to biased inferences. Some useful nonparametric methods are presented with examples.

Keywords

Data collection,Warranties,Nonparametric methods,Life testing


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