Various methods are discussed for the problem of comparing two or more populations with respect to a response variable Y in the presence of a (possibly multivariate) concomitant variable X--a situation in which the usual method is the standard one-way analysis of covariance. A method based on...
Various methods are discussed for the problem of comparing two or more populations with respect to a response variable Y in the presence of a (possibly multivariate) concomitant variable Xâa situation in which the usual method is the standard one-way analysis of covariance. A method ba...
Rank analysis of covariance: Alternative approaches. The Statistician, 32, 331-337.Lawson, A. (1983). Rank Analysis of Covariance: Alternative Approaches. The Statistician, 32(3), 331-337.A. Lawson, "Rank Analysis Of Covariance: Alternative Approaches," Journal of the Royal Statistical Society....
Rank-transformed analysis of covariance (RANC) is a nonRank-transformed analysis of covariance (RANC) is a nonparametric statistical method used to analyze the relationship between two continuous variables, while controlling for the effects of one or more categorical variables. It is an extension ...
Testing Factor-Covariate Interaction in Rank Repeated Measures Analysis of Covariance ModelsANCOVAANOVA-type testGEEGeneralized estimating equationsLongitudinal dataWald-type testThis article derives asymptotic properties of rank-based tests for the covariate effects in rank repeated measures ANCOVA models (Fan...
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A mouse DIO study is used to illustrate the investigated methods together with SAS code to realize select small sample corrected Wald-type rank tests using GEE supplied. 展开 关键词: Factorial designs ANOVA-type rank test GEE Empirical covariance estimator Robust covariance estimator Nonparametric ...
Extended rank analysis of covariance adjusting for local correlations An implicit assumption in the classical analysis of covariance is that the relationship between the response variable Y and the covariable X is consistent ... CC Chen - 《Computational Statistics & Data Analysis》 被引量: 0发表...
QUADE,D., 1967: Rank analysis of covariance. J. Amer. Statist. Assoc. 62, 1187-1200.Quade, D. Rank analysis of covariance. Journal of the American Statistical Association, 1966, 61, 1187-1200.(a)D. Quade. Rank analysis of covariance. Journal of the American Statistical Association, 62(...
Classical matched analysis, regarded as analysis of covariance (ANOCOVA) in a broad sense, makes no attempt in modeling and may therefore be inefficient. In this paper, we discuss the relative efficiencies of the ERMP (extended rank and matched-pair) test ( Chen and Quade , 2000) to ...