Some Useful Statistical Methods for Truncated Data

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.

• Field Reliability
• Lifetime Data
• Non-parametric Estimation
• Truncated Data
• Warranty Data

Additional information

Notes on contributors

J. D. Kalbfleisch

Dr. Kalbfleisch is a Professor of Statistics and Dean of the Faculty of Mathematics.

J. F. Lawless

Dr. Lawless is a Professor of Statistics.