A Monte Carlo study of the Friedman test and some competitors in the single factor, repeated measures design with unequal covariances
- 1 January 1994
- journal article
- Published by Elsevier in Computational Statistics & Data Analysis
- Vol. 17 (1) , 35-49
- https://doi.org/10.1016/0167-9473(92)00060-5
Abstract
No abstract availableThis publication has 17 references indexed in Scilit:
- The Rank Transform Method in Some Two-Factor DesignsJournal of the American Statistical Association, 1990
- An empirical study of the type I error rate and power for some selected normal-theory and nonparametric tests of the independence of two sets of variablesCommunications in Statistics - Simulation and Computation, 1989
- A Monte Carlo study of rank tests for block designsCommunications in Statistics - Simulation and Computation, 1987
- A monte carlo study of the f test and three tests based on ranks of treatment effects in randomized block designsCommunications in Statistics - Simulation and Computation, 1984
- Rank Transformations as a Bridge Between Parametric and Nonparametric StatisticsThe American Statistician, 1981
- Approximations of the critical region of the fbietkan statisticCommunications in Statistics - Theory and Methods, 1980
- Linear Models with Exchangeably Distributed ErrorsJournal of the American Statistical Association, 1979
- A Method for Simulating Non-Normal DistributionsPsychometrika, 1978
- On some alternative procedures using ranks for the analysis of experimental designsCommunications in Statistics - Theory and Methods, 1976
- A Note on the Generation of Random Normal DeviatesThe Annals of Mathematical Statistics, 1958