Premium
An Approximate Analysis of Incomplete Ranked Data
Author(s) -
Pettitt A. N.
Publication year - 1983
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.19830250405
Subject(s) - mathematics , statistics , factorial , rank (graph theory) , random variable , econometrics , combinatorics , mathematical analysis
An approximation for the probability of the rank order of k independent random variables is used to analyze incomplete ranked data, consisting of rankings of objects by judges. The approximation allows linear models to be fitted to the data so that differences amongst groups of judges can be investigated, and factorial models applied to investigate differences amongst the objects.