Skip to Main Content

Bulletin of the American Mathematical Society

Published by the American Mathematical Society, the Bulletin of the American Mathematical Society (BULL) is devoted to research articles of the highest quality in all areas of pure and applied mathematics.

ISSN 1088-9485 (online) ISSN 0273-0979 (print)

The 2020 MCQ for Bulletin of the American Mathematical Society is 0.47.

What is MCQ? The Mathematical Citation Quotient (MCQ) measures journal impact by looking at citations over a five-year period. Subscribers to MathSciNet may click through for more detailed information.


Book Review

The AMS does not provide abstracts of book reviews. You may download the entire review from the links below.

MathSciNet review: 1567059
Full text of review: PDF   This review is available free of charge.
Book Information:

Authors: Yvonne M. M. Bishop, Stephen E. Fienberg and Paul W. Holland
Title: Discrete multivariate analysis: Theory and practice
Additional book information: with the collaboration of Richard J. Light and Frederick Mosteller, MIT Press, Cambridge, Mass., 1975. Second printing with corrections, 1976, x + 557 pp., $30.00.

References [Enhancements On Off] (What's this?)

M. S. Bartlett, 1935, Contingency table interactions, J. Roy. Statist. Soc., Suppl. 2, 248-252.

  • M. W. Birch, Maximum likelihood in three-way contingency tables, J. Roy. Statist. Soc. Ser. B 25 (1963), 220–233. MR 168065
  • Y. M. M. Bishop, 1969, Full contingency tables, logits, and split contingency tables, Biometrics 25, 383-400.

    R. D. Bock, 1975, Multivariate statistical methods in behavioral research, McGraw-Hill, New York.

  • D. R. Cox, The analysis of binary data, Methuen & Co., Ltd., London, 1970. MR 0282453
  • A. P. Dempster, 1969, Elements of continuous multivariate analysis, Addison-Wesley, Reading, Mass.

    R. A. Fisher, 1934, Statistical methods for research workers, Oliver and Boyd, Edinburgh.

    R. A. Fisher, 1936, Has Mendel's work been rediscovered?, Ann. Sci. 1, 115-137.

  • R. A. Fisher, The negative binomial distribution, Ann. Eugenics 11 (1941), 182–187. MR 6689
  • Joseph L. Fleiss, Statistical methods for rates and proportions, 2nd ed., Wiley Series in Probability and Mathematical Statistics, John Wiley & Sons, Inc., New York, 1981. MR 622544
  • Irving John Good, The estimation of probabilities. An essay on modern Bayesian methods, Research Monograph, No. 30, The M.I.T. Press, Cambridge, Mass., 1965. MR 0185724
  • L. A. Goodman, 1968, The analysis of cross-classified data: independence, quasi-independence, and interaction in contingency tables with or without missing entries, J. Amer. Statist. Assoc. 63, 1091-1131.

  • Leo A. Goodman, On partitioning $\chi ^{2}$ and detecting partial association in three-way contingency tables, J. Roy. Statist. Soc. Ser. B 31 (1969), 486–498. MR 269066
  • L. A. Goodman, 1970, The multivariate analysis of qualitative data: interactions among multiple classifications, J. Amer. Statist. Assoc. 65, 226-256.

    L. A. Goodman, 1971a, The analysis of multidimensional contingency tables: stepwise procedures and direct estimation methods for building models for multiple classifications, Technometrics 13, 33-61.

    L. A. Goodman, 1971b, Partitioning of chi-square, analysis of marginal contingency tables and estimation of expected frequencies in multidimensional contingency tables, J. Amer. Statist. Assoc. 66, 339-344.

    L. A. Goodman, 1972a, A modified multiple regression approach to the analysis of dichotomous variables, Amer. Sociological Rev. 37, 28-46.

    L. A. Goodman, 1972b, A general model for the analysis of surveys, Amer. J. Sociology 77, 1035-1086.

    L. A. Goodman, 1972c, Causal analysis of data from panel studies and other kinds of surveys (unpublished).

    L. A. Goodman and W. H. Kruskal, 1954, Measures of association for cross-classifications, J. Amer. Statist. Assoc. 49, 732-764.

    L. A. Goodman and W. H. Kruskal, 1959, Measures of association for cross-classifications. II, J. Amer. Statist. Assoc. 54, 123-163.

  • Leo A. Goodman and William H. Kruskal, Measures of association for cross classifications. III. Approximate sampling theory, J. Amer. Statist. Assoc. 58 (1963), 310–364. MR 156400
  • L. A. Goodman and W. H. Kruskal, 1972, Measures of association for cross-classifications. IV, J. Amer. Statist. Assoc. 67, 415-421.

  • Shelby J. Haberman, The analysis of frequency data, Statistical Research Monographs, Vol. IV, University of Chicago Press, Chicago, Ill.-London, 1974. MR 0408098
  • H. O. Lancaster, The chi-squared distribution, John Wiley & Sons, Inc., New York-London-Sydney, 1969. MR 0253452
  • N. Mantel, 1966, Models for complex contingency tables and polychotomous response curves, Biometrics 22, 83-110.

  • A. E. Maxwell, Analysing qualitative data, Methuen’s Monographs on Applied Probability and Statistics, Methuen & Co., Ltd., London; John Wiley & Sons, Inc., New York, 1961. MR 0124114
  • Frederick Mosteller, Association and estimation in contingency tables, J. Amer. Statist. Assoc. 63 (1968), 1–28. MR 230442
  • M. Nerlove and S. J. Press, 1976, Multivariate log-linear probability models for the analysis of qualitative data, Discussion Paper No. 1, Center for Statistics and Probability, Northwestern Univ., Evanston, III.

    I. Olkin, 1977, A statistical technique, Science 196, 156-157.

    K. Pearson, 1900, On a criterion that a given system of deviations from the probable in the case of a corrolated system of variables is such that it can reasonably be supposed to have arisen from random sampling, Philosophical Mag. 50, 157-175.

    R. L. Plackett, 1974, The analysis of categorical data, Griffin, London.

    Review Information:

    Reviewer: Marc Nerlove
    Reviewer: S. James Press
    Journal: Bull. Amer. Math. Soc. 84 (1978), 470-480