BIOS-870, B.C. McCarthy
Biostatistics-II, Multivariate Methods
Bartlett, M.S. 1950. Tests of significance in factor analysis. British Journal of Psychology (Statistical Section) 3: 77-85.
*Bray R. J. and J. T. Curtis. 1957. An ordination of the upland forest communities of southern Wisconsin. Ecol. Monogr. 27: 325 - 349.
Carroll, J.D. 1987. Some multidimensional scaling and related procedures devised at Bell Laboratories, with ecological applications. Pages 65-138, In P. Legendre and L. Legendre (editors). Developments in numerical ecology. NATO ASI Series, Vol. G-14. Springer-Verlag, Berlin.
Catell, R. B. 1952. Factor analysis - An introduction and manual for the psychologist and social scientist. Harper, New York. 462 p.
Catell, R. B. 1966. The data box: its ordering of total resources in terms of possible relational systems. 67 - 128 in: R. B. Cattell [ed.] Handbook of multivariate experimental psychology. Rand McNally and Co., Chicago.
*Causton, D.R. 1988. Introduction to vegetation analysis. Unwin Hyman, Boston
Clark, P. J. 1952. An extension of the coefficient of divergence for use with multiple characters. Copeia 1952: 61 - 64.
Clifford, H. T. and D. W.Goodall. 1967. A numerical contribution to the classification of the Poaceae. Aust. J. Bot. 15: 499 - 519.
Czekanowski, J. 1909. Zur Differentialdiagnose der Neandertalgruppe. Korrespondenz-Blatt deutsch. Ges. Anthropol. Ethnol. Urgesch. 40: 44 - 47.
Estabrook, G. F. and D. J. Rogers. 1966. A general method of taxonomic description for a computed similarity measure. Bioscience 16: 789 - 793.
Fager, E. W. and J. A. McGowen. 1963. Zooplankton species groups in the North Pacific. Science 140: 453 - 460.
Faith, D. P. 1983. Asymmetric binary similarity measures. Oecologia 57: 287 - 290.
Hotelling, H. 1933. Analysis of a complex of statistical variables in principal components. Journal of Education Psychology 24: 417-441, 498-520.
*Gauch, H. G. Jr. 1982. Multivariate analysis in community ecology. Cambridge University Press, Cambridge. 298 p.
Goodall, D.W. 1954. Objective methods for the classification of vegetation. III. An essay in the use of factor analysis. Australian Journal of Botany 2: 304-324.
Goodall, D. W. 1966. A new similarity index based on probability. Biometrics 22: 882 - 907.
Gower, J. C. 1966. Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika 53: 325-338.
Gower, J. C. 1967. A comparison of some methods of cluster analysis. Biometrics 23: 623 - 637.
Gower, J. C. 1971a. A general coefficient of similarity and some of its properties. Biometrics 27: 857 - 871.
Gower, J. C. 1971b. Statistical methods of comparing different multivariate analyses of the same data. 138 - 149 in: F. R. Hodson, D. G. Kendall, and P. Tautu [eds.] Mathematics in the archaeological and historical sciences. Edinburgh University Press, Edinburgh.
Gower, J. C. and P. Legendre. 1986. Metric and Euclidean properties of dissimilarity coefficients. J. Classif. 3: 5 - 48. [PDF]
Hajdu, L. J. 1981. Geographical comparison of resemblance measures in phytosociology. Vegetatio 48: 47 - 59.
Hotelling, H. 1931. The generalization of Student’s ration. Ann. Math. Statist. 2: 360 - 378.
Jaccard, P. 1900. Contribution au problème de l’immigration post-glaciarie de la flore alpine. Bull. Soc. Vaudoise Sci. Nat. 36: 87 - 130.
*Kent, M and P. Coker. 1992. Vegetation description and analysis - A practical approach. John Wiley and Sons, New York. 363 p.
Kruskal, J. B. 1964a. Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika 29: 1-27.
Kruskal, J. B. 1964b. Nonmetric multidimensional scaling: a numerical method. Psychometrika 29: 115-129.
Kulczynski, S. 1928. Die Pflanzenassoziationen der Pieninen. Bull. Int. Acad. Pol. Sci. Lett. Cl. Sci. Math. Nat. Ser. B, Suppl. II (1927): 57 - 203.
Lance, G. N and W. T. Williams. 1966a. A generalized sorting strategy for computer classifications. Nature 212: 218.
Lance, G. N and W. T. Williams. 1966b. Computer programs for hierarchical polythetic classification (<<similarity analyses>>). Comput. J. 9: 60 - 64.
Lance, G. N. and W. T. Williams. 1967a. Mixed-data classificatory programs. I. Agglomerative systems. Aust. Comput. J. 1: 15 - 20.
Lance, G. N. and W. T. Williams. 1967b. Mixed-data classificatory programs. II. Divisive systems. Aust. Comput. J. 1: 82 - 85.
Lance, G. N. and W. T. Williams. 1967c. A general theory of classificatory sorting strategies. I. Hierarchical systems. Computer J. 9: 373 - 380.
Lance, G. N. and W. T. Williams. 1967d. A general theory of classificatory sorting strategies. II. Clustering systems. Comput. J. 10: 271 - 277.
Legendre, P., D. Plana, and M.-J. Auclair. 1984. Succession des communautés de gastéropodes dans deux milieux différant par leur degré d'eutrophisation. Canadian Journal of Zoology 62: 2317-2327.
*Ludwig J.A. and J.F. Reynolds. 1988. Statistical ecology. John Wiley, New York.
Mahalanobis, P. C. 1936. On the generalized distance in statistics. Proc. Natl. Inst. Sci. India 2: 49 - 55.
MacQueen, J. 1967. Some methods for classification and analysis of multivariate observations. 281 - 297 in L. M. LeCam and N. Neyman [eds.] Proceedings of the fifth Berkeley symposium on mathematical statistics and probability. Vol. 1. University of California Press, Berkeley.
Mantel, N. 1967. The detection of disease clustering and a generalized regression approach. Cancer Research 27: 209-220.
Milligan, G. W. 1996. Clustering validation - Results and implications for applied analyses. 341 - 375 in: P. Arabie, L. J. Huber, and G. De Soete [eds.] Clustering and Classification. World Scientific Publishing Co., River Edge, New Jersey.
Ochiai, A. 1957. Zoogeographic studies on the soleoid fishes found in Japan and its neighbouring regions. Bull. Jpn. Soc. Sci. Fish. 22: 526 - 530.
Odum, E. P. 1950. Bird populations of the Highlands (North Carolina) plateau in relation to plant succession and avian invasion. Ecology 31: 587 - 605.
Orlóci, L. 1967a. Data centering: a review and evaluation with references to component analysis. Syst. Zool. 16: 208 - 212.
Orlóci, L. 1967b. An agglomerative method for classification of plant communities. J. Ecol. 55: 193 - 205.
Orlóci, L. 1978. Multivariate analysis in vegetation research. 2nd edition. Dr. W. Junk B. V., The Hague. 451 p.
Pielou, E.C. 1984. The interpretation of ecological data: a primer on classification and ordination. Wiley Interscience. 263 p.
Rao, C.R. 1964. The use and interpretation of principal component analysis in applied research. Sankhyaa, Ser. A 26: 329-358.
Rogers, D. J. and T. T. Tanimoto. 1960. A computer program for classifying plants. Science 132: 1115 - 1118.
Russell, P. F. and T. R. Rao. 1940. On habitat and association of species of anopheline larvae in south-eastern Madras. J. Malar. Inst. India 3: 153 - 178.
Shepard, R. N. 1962. The analysis of proximities: multidimensional scaling with an unknown distance function. Psychometrika 27: 125-139.
Smouse, P.E., J.C. Long, and R.R. Sokal. 1986. Multiple regression and correlation extensions of the Mantel test of matrix correspondence. Systematic Zoology 35: 627-632.
*Sneath, P. H. A. and R. R. Sokal. 1973. Numerical taxonomy - The principles and practice of numerical classification. W. H. Freeman, San Francisco. 573 p.
Sokal R. R. and C. D. Michner. 1958. A statistical method for evaluating systematic relationships. Univ. Kans. Sci. Bull. 38: 1409 - 1438.
Sokal, R. R. and P. H. A. Sneath. 1963. Principles of numerical taxonomy. W. H. Freeman, San Francisco. 359 p.
Sørensen, T. 1948. A method of establishing groups of equal amplitude in plant sociology based on similarity of species content and its application to analysis of the vegetation on Danish commons. Biol. Skr. 5: 1 - 34.
Ward, J. H. 1963. Hierarchical grouping to optimize an objective function. J. Amer. Statist. Assoc. 58: 236 - 244.
Williams, W. T. and M. B. Dale. 1965. Fundamental problems in numerical taxonomy. Adv. Bot. Res. 2: 35 - 68.
Williams, W. T. and J. M. Lambert. 1959. Multivariate methods in plant ecology. I. Association analysis in plant communities. J. Ecol. 47: 83 - 101.