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Using Ranks in Parallel Line Assays
Author(s) -
Pettitt A. N.
Publication year - 1982
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710240310
Subject(s) - bayesian probability , statistics , line (geometry) , sample (material) , sampling (signal processing) , computer science , econometrics , bayes' theorem , mathematics , chemistry , chromatography , geometry , filter (signal processing) , computer vision
An approximation to the likelihood of a sample, based on the ranks of the observations only, is used to analyze data from a biological assay. Inferences, depending only on the ranks of the observations, are made about the potency and about the validity of assumptions made in the analysis. Inferences are made in both Bayesian and sampling theory frameworks. An example of parallel line assay is given.