Multivariate Statistical Methods in Physical Anthropology Multivariate Statistical Methods in Physical Anthropology A Review of Recent Advances and Current Developments Edited by G. N. VAN VARK Department of Anatomy and Embryology, University of Groningen, The Netherlands and W. W. HOWELLS Peabody Museum of Archeology and Ethnology, Harvard University, U.S.A. D. REIDEL PUB,LtIS HING COMPANY A MEMBER OF THE KLUWER ACADEMIC PUBLISHERS GROUP DORDRECHTI BOSTON I LANCASTER library of Congress Cataloging in Publication Data Main entry under title: Multivariate statistical methods in physical anthropology. Includes index. 1. Physical anthropology-Statistical methods-Congresses. I. Vark, G. N. van (Gerrit Nanning), 1931- II. Howells, William White, 1908- GN56.M8 1984 573' .072 84-2007 ISBN-I3: 978-94-009-6359-7 e-ISBN-I3: 978-94-009-6357-3 DOl: 10.1007/978-94-009-6357-3 Published by D. Reidel Publishing Company, P.O. Box 17,3300 AA Dordrecht, Holland. Sold and distributed in the U.S.A. and Canada by Kluwer Academic Publishers, 190 Old Derby Street, Hingham, MA 02043, U.S.A. In all other countries, sold and distributed by Kluwer Academic Publishers Group, P.O. Box 322, 3300 AH Dordrecht, Holland. All Rights Reserved © 1984 by D. Reidel Publishing Company, Dordrecht, Holland No part of the material protected by this copyright notice may be reproduced or utilized in any form or by any means, electronic or mechanical including photocopying, recording or by any information storage and retrieval system, without written permission from the copyright owner CONTENTS Preface vii List of Contributors ix Introduction w.w. Howells 1 Interpretation of Metrical Variables in Multivariate Analysis R.S. Corruccini 13 Some Recent Advances in Multivariate Analysis Applied to Anthropometry J.C. Gower and P.G.N. Digby 21 Incomplete Samples from Multivariate Normal Distributions with the Same, Known Covariance Matrix W. H. V. de Goede 37 Use of Diversity and Distance Measures in the Analysis of Qualitative Data C. Radhakrishna Rao 49 Multivariate Distances and Hultivariate Classification Systems Using Non-Metric Traits in Biological Studies M. Finnegan and R.M. Rubison 69 Generalized Distance in Familial Studies of Anthropometrical Characters C. Susanne 81 Generalized Distance between Different Thigh-bones and a Reference Population E. Defrise-Gussenhoven and R. Orban-Segebarth 89 The Use of Multivariate Distances for Non-Classificatory Purposes in Anthropobiology J. Hiernaux 101 CONTENTS Interval Estimates for Posterior Probabilities, Applications to Border Cave A.W. Ambergen and W. Schaafsma 115 Cluster Analysis, History, Theory and Applications F.W. Wilmink and H.T. Uytterschaut 135 Some Aspects of Allocation and Discrimination N.A. Campbell 177 Interpretation and Testing in Multivariate Statistical Approaches to Physical Anthropology: the Example of Sexual Dimorphism in the Primates C.E. Oxnard 193 A Report on the Heritability of Some Cranial Measurements and Non-Metric Traits T. Sj¢vold 223 Improving the Sensitivity, Specificity, and Appositeness of Morphometric Analyses J.G. Rhoads 247 Towards an Understanding of Data in Physical Anthropology S.R. Wilson 261 Data Banks and Multivariate Statistics in Physical Anthropology I. Schwidetzky 283 Biological Evolution and History in 19th Century Portugal J.-P. Bocquet-Appel 289 On the Determination of Hominid Affinities G.N. van Vark 323 Multivariate Analysis and Cranial Diversity in Plio-pleistocene Hominids A. Bilsborough 351 From Multivariate Statistics to Natural Selection: A Reanalysis of Plio/Pleistocene Hominid Dental Material D.W. Read 377 Subject Index 415 PREFACE Physical anthropologists, like other research workers, are recognizing that the standard multivariate statistical techniques of recent decades are in need of refinement and greater precision. Increasingly it is felt that more sophisticated methods are called for, specifically designed for the materials and problems at issue. To this end the editors were asked by organizers of the First Intercongress of the International Union of Anthropological and Ethnological Sciences to develop a symposium on this general subject. With the title of this book, the symposium was held in Amsterdam on April 23-25, 1981. Invited were mathematical statisticians who were known to have an acquaintance with and interest in anthropological problems, together with anthropologists and human geneticists who consider multivariate methodology essential for their research. This volume constitutes an updated and revised selection from among the papers presented, together with a few supplementary papers by authors who were not present but whose work fills out the intended coverage and makes the volume more complete with respect to the state of affairs in the field. The papers are devoted both to new methodology and to its practical application. Mathematical statisticians may wish to know more about the biological nature and the kinds of materials and samples on which mathematical thinking can be exercised. Anthropologists as practitioners may not be fully aware of the possibilities and limitations in particular mathematical models and methods. Our purpose has been to bring the two groups together, for personal discussions across disciplinary lines as well as within disciplines. The papers provide instances of practical application of new methodology, showing how these may lead to new interpretations viii PREFACE and hypotheses of significance. They should also indicate the directions in which methods have been moving. It is hoped that the book will serve as a practical guide to physical anthropologists and kindred researchers, and as a stimulus to further understanding and refinement. The editors wish to thank all those who have contributed to making this publication possible, in particular Mr. Don Kuizenga and Drs. S.K. Hazewindus who took a considerable part of all of the varied tasks editors turned out to have, Mrs. G.T. Hoogenberg for her assistance with the extensive correspondence, and Mrs. Th. Deddens and K. van Linschoten for their assistance with making the drawings. G.N. van Vark W.W. Howells LIST OF CONTRIBUTORS A.W. Ambergen, Stichting Mathematisch Centrum, Universiteit van Amsterdam, Kruislaan 413, 1098 SJ Amsterdam, The Netherlands. Jean-Pierre Bocquet-Appel, Centre National de la Recherche Scien tifique, Laboratoire d'Informatique pour les Sciences de 1 'Homme. 54, Boulevard Raspail, 75270 Paris Cedex 06, France. Alan Bilsborough, Department of Physical Anthropology, University of Cambridge, Downing Street, Cambridge CB2 3DZ, U.K. N.A. Campbell, Division of Mathematics and Statistics, C.S.I.R.O., Private Bag, P.O. Wembley, W.A. 6014, Australia. Robert S. Corruccini, Department of Anthropology, Southern Illinois University, Carbondale, Illinois 62901, U.S.A. Elisabeth Defrise-Gussenhoven, Centrum voor Biomatematika, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium. P.G.N. Digby, Rothamsted Experimental Station, Harpenden, Herts, AL5 2JQ, U.K. M. Finnegan, Osteology Laboratory, Kansas State University, Manhattan, Kansas 66506, U.S.A. W.H.V. de Goede, Afdeling Mathematische Statistiek, Rijksuniversi teit Groningen, Postbus 800, 9700 AV Groningen, The Netherlands. J.C. Gower, Rothamsted Experimental Station, Harpenden, Herts, AL5 2JQ, U.K~ , Jean Hiernaux, Equipe d'Ecologie Humaine, Universite de Paris, Equipe de Recherche du C.N.R.S., Tour 16, 3e etage, 2, Place Jussieu, 75230 Paris Cedex 05, France. W.W. Howells, Peabody Museum of Archaeology and Ethnology, Harvard University, 11 Divinity Avenue, Cambridge, Massachusetts 02138, U.S.A. Rosine Orban-Segebarth, Laboratoire d'Anthropologie et de Genetique Humaine, C.P. 192, 50 Avenue F. Roosevelt, B-I050 Brussels, Belgium. Charles E. Oxnard, Office of the Dean, University of Southern California, Uni versi ty Park - ADM. 302, Los Angeles, California 90007, U.S.A. C. Radhakrishna Rao, University of Pittsburgh, Center for Multivariate Analysis, 913 Schenley Hall, Pittsburgh, PA 15260, USA ix x LIST OF CONTRIBUTORS Dwight D. Read, Department of Anthropology, University of California, 405, Hilgard Avenue, Los Angeles, California 90024. U.S.A. John G. Rhoads, Department of Anthropology. Yale University-, Box 2114, Yale Station, New Haven, Connecticut 06520, U.S.A. R.M. Rubison, Department of Statistics, Kansas State University, Manhattan, Kansas 66506, U.S.A. W. Schaafsma, Afdeling Mathematische Statistiek, Rijksuniversiteit Groningen, Postbus 800, 9700 AV Groningen, The Netherlands. Ilse Schwidetzky, Anthropologisches Institut der Johannes Gutenberg Universitat, Saarstrasse 21, 6500 Mainz, Germany. Torstein Sj~vold, Osteologiska Forskningslaboratoriet, Ulriksdals Kungsggrd, S-17171 Solna, Sweden. C. Susanne, Laboratorium voor Anthropogenetica, Vrije Universiteit, Pleinlaan 2, 1050 Brussels, Belgium. Hilde Uytterschaut, Laboratorium voor Anatomie en Embryologie, Rijksuniversiteit Groningen, Oostersingel 69, 9713 EZ Groningen. The Netherlands. G.N. van Vark, Laboratorium voor Anatomie en Embryologie, Rijksuniversiteit Groningen, Oostersingel 69, 9713 EZ Groningen, The Netherlands. F.W. Wilmink, Laboratorium voor Anatomie en Embryologie, Rijksuniversiteit Groningen, Oostersingel 69, 9713 EZ Groningen, The Netherlands. Susan R. Wilson, Department of Statistics, The Australian National University, Mathematical Science Building. P.O.Box 4, Canberra ACT 2600, Australia. INTRODUCTION W.W. Howells Peabody Museum of Archeology and Ethnology, Harvard University, Cambridge Massachusetts, USA In the mid-eighteenth century Dr. Johnson (quoted by D'Arcy Thompson, 1942) wrote: "The mathematicians are well acquainted with the difference between pure science, which has only to do with ideas, and the application of laws to the use of life, in which they are constrained to submit to the imperfections of matter and the influence of accident". Two hundred years have not outdated this observation although, in specifics, both mathemat ical statistics and the anthropological study of populations have progressed long distances in parallel. Each has done what it was able to do, halting at times because of limits in ideas or tech niques, and again moving into fresh pastures when such barriers were removed. Anthropology has, as is well known, depended more and more on mathematical statistics and on statisticians, while statisticians have, as is also well known, found human material, expecially crania, particularly suited to their purposes. Such reciprocal advance is necessary but difficult: the mathematics are now rather demanding for most untrained anthropologists and repellent to some. And statisticians do not always see biological questions with the eyes of an anthropologist. It has been the purpose of our symposium to reflect present day connections and possible future ones. Various of those present have in recent years published important critical papers on anthropological uses of statistics, papers which regrettably cannot be reprinted here. However, their present contributions serve as extensions along the same lines, and this is what we have sought. G. N. van Vark and W. W. Howells (eds.), Multivariate Statistical Methods in Physical Anthropology, 1 ~ 11. © 1984 by D. Reidel Publishing Company.
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