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Multiple Comparison Procedures for Analysis of Ranked Data
Author(s) -
Christensen Zeke T.,
Ogden Lynn V.,
Dunn Michael L.,
Eggett Dennis L.
Publication year - 2006
Publication title -
journal of food science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 150
eISSN - 1750-3841
pISSN - 0022-1147
DOI - 10.1111/j.1365-2621.2006.tb08916.x
Subject(s) - statistics , rank (graph theory) , set (abstract data type) , mathematics , data set , computer science , econometrics , combinatorics , programming language
Multiple comparison procedures for analysis of ranked data are available in tabular form for quick determination of significance. It was determined that the method used by Basker and Newell to determine critical values was overly conservative. Those values are useful for determining the overall significance of the model. Additional multiple comparison tables of critical values are presented for determining the rank significance of all samples within the set. Both sets of tables are included.