Master of Science (MS)
First Committee Member
Ashok K. Singh
Number of Pages
The Kaplan-Meier (K-M) estimator is a non-parametric estimator of the survival function, used in lifetesting and medical follow-up studies where some of the observations are incomplete (right-censored data). In environmental applications, the user is faced with the problem of contaminant concentration falling below the limit of detection (DL) of the instrument (left-censored data). The K-M estimator has recently been proposed in environmental literature for computing the Upper Confidence Limit (UCL) of the mean in the presence of nondetects in environmental data sets. The properties of this UCL, however, have not been investigated. In this thesis, I propose to use Monte Carlo simulation to study the performance of the K-M method for computing the UCL of the mean.
Confidence; Environmental; Investigation; Kaplan; Limit; Mean; Meier; Nondetects; Population; Samples; Upper
University of Nevada, Las Vegas
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Hennessey, Violeta Graciela, "An investigation of the Kaplan-Meier Upper Confidence Limit for the population mean from environmental samples with nondetects" (2005). UNLV Retrospective Theses & Dissertations. 1833.