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Stepwise nonparametric multiple comparisons in randomized complete block designs.

Authors
Groggel-D; Bena-J; Skillings-J
Source
Joint Statistical Meetings, August 5, 2001, Atlanta, Georgia. Alexandria, VA: American Statistical Association, 2000 Aug; :300761
NIOSHTIC No.
20030475
Abstract
Many commonly used nonparametric multiple comparison procedures have poor power for pairwise comparisons involving treatments whose effects are near the middle of an increasing ordered set. Pairwise all-subset procedures are compared to procedures using joint ranks and pairwise ranks in a Monte Carlo study. Tha pairwise all-subset procedures often show higher power while still controlling the experimentwise error rate at the desired level.
Keywords
Control-methods; Statistical-analysis; Mathematical-models
Publication Date
20010805
Document Type
Abstract; Conference/Symposia Proceedings
Fiscal Year
2001
NTIS Accession No.
NTIS Price
NIOSH Division
EID
Source Name
Joint Statistical Meetings, August 5, 2001, Atlanta, Georgia
State
OH
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