Estimating distributions in the presence of measurement error with replicate values
In many applications, observations from some distribution of interest are "contaminated" with errors. In this thesis we examine estimation of the underlying distribution in the presence of such errors. The nonparametric maximum likelihood estimator (NPMLE) of the mixing distribution of int...
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Language: | ENG |
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ScholarWorks@UMass Amherst
1996
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Online Access: | https://scholarworks.umass.edu/dissertations/AAI9638942 |