A parametric bootstrap procedure to estimate the selected mean using censored data

Alka Indurkhya

Statistics & Probability Letters, 1994, vol. 21, issue 4, 291-298

Abstract: Estimators for the mean of the selected population are proposed using a parametric bootstrap procedure. The small sample behaviour of the estimator is studied when the data is censored. The estimator is compared with other suitable estimators in the case of the negative exponential distribution.

Keywords: Estimation; after; selection; Bootstrap; Censoring; Negative; exponential; distribution (search for similar items in EconPapers)
Date: 1994
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