title: Nonparametric tests for comparing umbrella pattern treatment effects with a control in a randomized block design.
abstract: This paper treats the problem of comparing umbrella pattern treatment effects with a control in a randomized block design. An extension of the Chen-Wolfe test (1993, Biometrics 49, 455-465) and its modification are proposed for both cases where the peak of the umbrella is known or unknown. Approximate critical values are given and the results of a Monte Carlo power study are presented.
authors.affiliation: Department of Statistics, Gyeongsang National University, Chinju, Korea.
authors.forename: D H
authors.initials: DH
authors.lastname: Lim
authors.forename: D A
authors.initials: DA
authors.lastname: Wolfe
mesh_terms: D000818:Animals; D001522:Behavior, Animal / Q000187:drug effects; D001699:Biometry; D003913:Dextroamphetamine / Q000008:administration & dosage / Q000494:pharmacology; D004305:Dose-Response Relationship, Drug; D006801:Humans; D008297:Male; D009010:Monte Carlo Method; D016032:Randomized Controlled Trials as Topic / Q000379:methods* / Q000706:statistics & numerical data; D051381:Rats
chemical_list: D003913:Dextroamphetamine