Real data are messy

[1]  P. Clifford,et al.  Modifying the t test for assessing the correlation between two spatial processes , 1993 .

[2]  Robert R. Sokal,et al.  An investigation of three-matrix permutation tests , 1992 .

[3]  Pierre Legendre,et al.  Study of spatial components of forest cover using partial Mantel tests and path analysis , 1992 .

[4]  D. Hand,et al.  Analysis of Repeated Measures , 1990 .

[5]  Robert R. Sokal,et al.  Approximate analysis of variance of spatially autocorrelated regional data , 1990 .

[6]  D Hémon,et al.  Assessing the significance of the correlation between two spatial processes. , 1989, Biometrics.

[7]  David Krackhardt,et al.  PREDICTING WITH NETWORKS: NONPARAMETRIC MULTIPLE REGRESSION ANALYSIS OF DYADIC DATA * , 1988 .

[8]  R. Sokal,et al.  Multiple regression and correlation extensions of the mantel test of matrix correspondence , 1986 .

[9]  C. Braak.  Canonical Correspondence Analysis: A New Eigenvector Technique for Multivariate Direct Gradient Analysis , 1986 .

[10]  G. W. Milligan,et al.  An examination of procedures for determining the number of clusters in a data set , 1985 .

[11]  Louis Legendre,et al.  Succession of Species within a Community: Chronological Clustering, with Applications to Marine and Freshwater Zooplankton , 1985, The American Naturalist.

[12]  Reginald G. Golledge,et al.  A heuristic method for the comparison of related structures , 1981 .

[13]  Eric Renshaw,et al.  Spatial Processes: Models and Applications , 1981 .

[14]  A. L. V. D. Wollenberg.  Redundancy analysis an alternative for canonical correlation analysis , 1977 .

[15]  N. Mantel.  The detection of disease clustering and a generalized regression approach. , 1967, Cancer research.

[16]  M. Pagel,et al.  The comparative method in evolutionary biology , 1991 .

[17]  Christophe Perruchet,et al.  Significance Tests for Clusters: Overview and Comments , 1983 .