Fitting distributions to microbial contamination data collected with an unequal probability sampling design.

Abstract

AIMS The fitting of statistical distributions to microbial sampling data is a common application in quantitative microbiology and risk assessment applications. An underlying assumption of most fitting techniques is that data are collected with simple random sampling, which is often times not the case. This study develops a weighted maximum likelihood… (More)
DOI: 10.1111/jam.12019

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