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...
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....
Extended Rank Analysis of Covariance as a More Efficient Matched Analysis Considering Trend Information Classical matched analysis, regarded as analysis of covariance (ANOCOVA) in a broad sense, makes no attempt in modeling and may therefore be inefficient. I... CC Chen - WILEY‐VCH Verlag Berlin...
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...
Parametric analysis of covariance was compared to analysis of covariance with data transformed using ranks. Using a computer simulation approach, the two strategies were compared in terms of the proportion of Type I errors made and statistical power when the conditional distribution of errors was norma...
Finally, some results about the connection between MTFA and the classical minimum rank factor analysis will be presented.关键词: factor analysis - covariance matrices - minimum trace - constrained minimum trace - minimum rank DOI: 10.1007/BF02293708 被引量: 88 ...
Recent research for multiple input, multiple output (MIMO) systems has utilized the linear structure of linear dispersion codes (LDCs) to construct precoders with partial transmitter channel knowledge. In this paper, we build upon a coding structure known as dispersive covariance coding (DCC) derived...
ANALYSIS OF COVARIANCE BASED ON GENERAL RANK SCORES ON A CLASS OF RANK ORDER TESTS FOR THE IDENTITY OF TWO MULTIPLE REGRESSION SURFACES STATISTICAL INFERENCE IN INCOMPLETE BLOCKS DESIGNS ON SOME SELECTION PROCEDURES IN TWO-WAY LAYOUTS A NOTE ON ASYMPTOTIC DISTRIBUTION-FREE TESTS FOR SUBHYPOTHESE...
BSS experiments show the efficacy of the proposed method in terms of the computational cost and separation performance. 展开 关键词: Blind source separation independent low-rank matrix analysis full-rank spatial covariance model diffuse noise