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  Using weighted rankings to test against ordered alternatives in complete blocks
 
 
Titel: Using weighted rankings to test against ordered alternatives in complete blocks
Auteur: Salama, Ibrahim A.
Quade, Dana
Verschenen in: Communications in statistics
Paginering: Jaargang 10 (1981) nr. 4 pagina's 385-399
Jaar: 1981
Inhoud: Consider testing the hypothesis of no treatment effects against a postulated ranking of the treatments, given data from n complete blocks. A suitable test statistic is the weighted average rank correlation W = [image omitted]  where Ci correlation between the postulated ranking and the ranking observed within the i-th block, Qi is the rank of the i-th block with respect to credibility, and the b's are weights such that 0<=b1<=...<=bn. Tests using Spearman and Kendall correlation are proposed and their distributions are obtained for both small and large experiments. These tests and others are compared in small experiments with respect to expected significance level. Finally, a simple illustrative example is presented.
Uitgever: Taylor & Francis
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

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