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Some Useful Statistical Methods for Truncated Data

Summary: 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.

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  • Topics: Data Quality
  • Keywords: Data collection,Warranties,Nonparametric methods,Life testing
  • Author: Kalbfleisch, J.D.; Lawless, J.F.
  • Journal: Journal of Quality Technology