The analysis of cross-classified categorical data: Second edition

The Analysis of Cross-Classified Categorical Data: Second Edition

Volumn , Issue , 2007, Pages 1-198

  Fienberg, Stephen E ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84891380333     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-0-387-72825-4     Document Type: Book

References (232)

1. Aitkin, M. A. [1978]. The analysis of unbalanced cross-classifications (with Discussion). J. Roy. Statist. Soc. Ser. A 141, 195-223.
2. Aitkin, M. A. [1979]. A simultaneous test procedure for contingency table models. Appl. Statist. 28, 233-242.
3. Altham, P. M. E. [1976]. Discrete variable analysis for individuals grouped into families. Biometrika 63, 263-270.
4. Andersen, A. H. [1974]. Multi-dimensional contingency tables. Scand. J. Statist. 1, 115-127.
5. Anderson, J. A. [1972]. Separate sample logistic discrimination. Biometrika 59, 19-35.
6. Anderson, J. B. and Davidovits, P. [1975]. Isotope separation in a "seeded beam." Science 187, 642-644.
7. Armitage, P. [1955]. Tests for linear trends in proportions and frequencies. Biometrics 11, 375-386.
8. Ashford, J. R. and Sowden, R. R. [1970]. Multivariate probit analysis. Biometrics 26, 535-546.
9. Bartlett, M. S. [1935]. Contingency table interactions. J. Roy. Statist. Soc. Suppl. 2, 248-252.
10. Beaton, A. E. [1975]. The influence of education and ability on salary and attitudes. In F. T. Juster (ed.), Education, Income, and Human Behavior, pp. 365-396. New York, McGraw-Hill.
11. Benedetti, J. K. and Brown, M. B. [1976]. Alternative methods of building log-linear models. Unpublished manuscript.
12. Berkson, J. [1944]. Application of the logistic function to bio-assay. J. Amer. Statist. Assoc. 39, 357-365.
13. Berkson, J. [1946]. Approximation of chi-square by "Probits" and by "Logits." J. Amer. Statist. Assoc. 41, 70-74.
14. Berkson, J. [1978]. In dispraise of the exact test. J. Statist. Planning and Inference 2, 27-42.
15. Bhapkar, V. P. and Koch, G. [1968a]. On the hypotheses of "no interaction" in contingency tables. Biometrics 24, 567-594.
16. Bhapkar, V. P. and Koch, G. [1968b]. Hypotheses of "no interaction" in multidimensional contingency tables. Technometrics 10, 107-124.
17. Bickel, P. J., Hammel, E. A., and O'Connell, J. W. [1975]. Sex bias in graduate admissions: data from Berkeley. Science 187, 398-404.
18. Birch, M. W. [1963]. Maximum likelihood in three-way contingency tables. J. Roy. Statist. Soc. B 25, 220-233.
19. Bishop, Y. M. M. [1967]. Multidimensional contingency tables: cell estimates. Ph. D. dissertation, Department of Statistics, Harvard University. Available from University Microfilm Service.
20. Bishop, Y. M. M. [1969]. Full contingency tables, logits, and split contingency tables. Biometrics 25, 383-400.
21. Bishop, Y. M. M. [1971]. Effects of collapsing multidimensional contingency tables. Biometrics 27, 545-562.
22. Bishop, Y. M. M. and Fienberg, S. E. [1969]. Incomplete two-dimensional contingency tables. Biometrics 25, 119-128.
23. Bishop, Y. M. M., Fienberg, S. E., and Holland, P. W. [1975]. Discrete Multivariate Analysis: Theory and Practice. Cambridge, Mass., The MIT Press.
24. Bishop, Y. M. M. and Mosteller, F. [1969]. Smoothed contingency-table analysis. In J. P. Bunker et al. (eds.), The National Halothane Study, pp. 237-286. Report of the Subcommittee on the National Halothane Study of the Committee on Anesthesia, Division of Medical Sciences, National Academy of Sciences-National Research Council. National Institutes of Health, National Institute of General Medical Sciences, Bethesda, Md. Washington, D. C., U. S. Government Printing Office.
25. Blalock, H. M., Jr. [1964]. Causal Inferences in Nonexperimental Research. Chapel Hill, Univ. of North Carolina Press.
26. Blalock, H. M., Jr. [1972]. Social Statistics (2nd edition). New York, McGraw-Hill.
27. Bliss, C. I. [1967]. Statistics in Biology, Vol. 1. New York, McGraw-Hill.
28. Bloomfield, P. [1974]. Transformations for multivariate binary data. Biometrics 30, 609-618.
29. Blyth, C. R. [1972]. On Simpson's paradox and the sure-thing principle. J. Amer. Statist. Assoc. 67, 364-366.
30. Bock, R. D. [1970]. Estimating multinomial response relations. In R. C. Bose et al. (eds.), Contributions to Statistics and Probability, Chapel Hill, Univ. of North Carolina Press.
31. Bock, R. D. [1975]. Multivariate analysis of qualitative data. Chapter 8 of Multivariate Statistical Methods in Behavioral Research, New York, McGraw-Hill.
32. Brier, S. S. [1978]. The utility of systems of simultaneous logit response equations. Sociological Methodology 1979, 119-129.
33. Brier, S. S. [1979]. Categorical data models for complex sampling schemes. Unpublished Ph. D. dissertation, School of Statistics, University of Minnesota.
34. Brown, D. T. [1959]. A note on approximations to discrete probability distributions. Information and Control 2, 386-392.
35. Brown, M. B. [1976]. Screening effects in multidimensional contingency tables. Appl. Statist. 25, 37-46.
36. Brunswick, A. F. [1971]. Adolescent health, sex, and fertility. Amer. J. Public Health 61, 711-720.
37. Bunker, J. P., Forrest, W. H., Jr., Mosteller, F., and Vandam, L. [1969]. The National Halothane Study. Report of the Subcommittee on the National Halothane Study of the Committee on Anesthesia, Division of Medical Sciences, National Academy of Sciences-National Research Council, National Institutes of Health, National Institute of General Medical Sciences, Bethesda, Md. Washington, D. C., U. S. Government Printing Office.
38. Chen, T. T. and Fienberg, S. E. [1974]. Two-dimensional contingency tables with both completely and partially cross-classified data. Biometrics 30, 629-642.
39. Chen, T. T. and Fienberg, S. E. [1976]. The analysis of contingency tables with incompletely classified data. Biometrics 32, 133-144.
40. Clayton, D. G. [1974]. Some odds ratio statistics for the analysis of ordered categorical data. Biometrika 61, 525-531.
41. 2 tests. Biometrics 10, 417-451.
42. Cohen, J. E. [1976]. The distribution of the chi-squared statistic under clustered sampling from contingency tables. J. Amer. Statist. Assoc. 71, 665-670.
43. Coleman, J. S. [1964]. Introduction to Mathematical Sociology. New York, Free Press.
44. Conover, W. J. [1974]. Some reasons for not using the Yates continuity correction on 2 × 2 contingency tables (with comments and a rejoinder). J. Amer. Statist. Assoc. 69, 374-382.
45. Cornfield, J. [1956]. A statistical problem arising from retrospective studies. In J. Neyman (ed.), Proceedings of the Third Berkeley Symposium on Mathematical Statistics and Probability, Vol. 4, pp. 135-148. Berkeley, Univ. of California Press.
46. Cornfield, J. [1962]. Joint dependence of risk of coronary heart disease on serum cholesterol and systolic blood pressure: a discriminant function analysis. Federation Proc. 21, 58-61.
47. Cox, D. R. [1966]. Some procedures connected with the logistic qualitative response curve. In F. N. David (ed.), Research Papers in Statistics: Essays in Honour of J. Neyman's 70th Birthday, pp. 55-71. New York, John Wiley.
48. Cox, D. R. [1970a]. Analysis of Binary Data. London, Methuen.
49. Cox, D. R. [1970b]. The continuity correction. Biometrika 57, 217-219.
50. Cox, D. R. [1972]. The analysis of multivariate binary data. Appl. Statist. 21, 113 120.
51. Cox, D. R. and Hinkley, D. V. [1974]. Theoretical Statistics. London, Chapman & Hall, and New York, Halsted (Wiley).
52. Cox, D. R. and Lauh, E. [1967]. A note on the graphical analysis of multidimensional contingency tables. Technometrics 9, 481-488.
53. Daniel, C. [1959]. Use of half-normal plots in interpreting factorial two-level experiments. Technometrics 1, 311-341.
54. Darroch, J. N. [1962]. Interaction in multi-factor contingency tables. J. Roy. Statist. Soc. Ser. B 24, 251-263.
55. Darroch, J. N. [1974]. Multiplicative and additive interaction in contingency tables. Biometrika 61, 207-214.
56. Darroch, J. N. [1976]. No-interaction in contingency tables. Unpublished manuscript.
57. Darroch, J. N. and Ratcliff, D. [1972]. Generalized iterative scaling for loglinear models. Ann. Math. Statist. 43, 1470-1480.
58. Dawber, T. R., Kannel, W. B., and Lyell, L. P. [1963]. An approach to longitudinal studies in a community: the Framingham study. Ann. N. Y. Acad. Sci. 107, 539-556.
59. Deming, W. E. and Stephan, F. F. [1940a]. On a least squares adjustment of a sampled frequency table when the expected marginal totals are known. Ann. Math. Statist. 11, 427-444.
60. Deming, W. E. and Stephan, F. F. [1940b]. The sampling procedure of the 1940 population census. J. Amer. Statist. Assoc. 35, 615-630.
61. Dempster, A. P. [1971]. An overview of multivariate analysis. J. Multivariate Anal. 1, 316-346.
62. Dempster, A. P. [1973]. Aspects of the multinomial logit model. In P. R. Krishnaiah (ed.), Multivariate Analysis: Proceedings of the Third International Symposium, pp. 129-142. New York, Academic Press.
63. Draper, N. R. and Smith, H. [1966]. Applied Regression Analysis. New York, John Wiley.
64. DuMouchel, W. [1975]. On the analogy between linear and log-linear regression. Unpublished manuscript.
65. Duncan, O. D. [1966]. Path analysis: sociological examples. Amer. J. Sociol. 72, 1-16.
66. Duncan, O. D. [1975a]. Structural Equations Models. New York, Academic Press.
67. Duncan, O. D. [1975b]. Partitioning polytomous variables in multiway contingency analysis. Social Science Res. 4, 167-182.
68. Duncan, O. D., Schuman, H., and Duncan, B. [1973]. Social Change in a Metropolitan Community. New York, Russell Sage Foundation.
69. Dyke, G. V. and Patterson, H. D. [1952]. Analysis of factorial arrangements when the data are proportions. Biometrics 8, 1-12.
70. Dykes, M. H. M. and Meier, P. [1975]. Ascorbic acid and the common cold: evaluation of its efficacy and toxicity. J. Amer. Med. Assoc. 231, 1073-1079.
71. Efron, B. [1978]. Regression and ANOVA with zero-one data: measures of residual variation. J. Amer. Statist. Assoc. 73, 113-121.
72. Farewell, V. T. [1979]. Some results on the estimation of logistic models based on retrospective data. Biometrika 66, 27-32.
73. Fay, R. E. Ill [1979]. On jackknifing chi-square test statistics: an application to loglinear modeling of data from the Current Population Survey. U. S. Bureau of the Census, unpublished manuscript.
74. Fellegi, I. [1980]. Approximate tests of independence and goodness of fit based on stratified multi-stage samples. J. Amer. Statist. Assoc. 75 (in press).
75. Feller, W. [1968]. An Introduction to Probability Theory and Its Application, Vol. I (3rd edition). New York, John Wiley.
76. Fienberg, S. E. [1969]. Preliminary graphical analysis and quasi-independence for two-way contingency tables. Appl. Statist. 18, 153-165.
77. Fienberg, S. E. [1970a]. An iterative procedure for estimation in contingency tables. Ann. Math. Statist. 41, 907-917.
78. Fienberg, S. E. [1970b]. The analysis.of multidimensional contingency tables. Ecology 51, 419-433.
79. Fienberg, S. E. [1970c]. Quasi-independence and maximum likelihood estimation in incomplete contingency tables. J. Amer. Statist. Assoc. 65, 1610-1616.
80. Fienberg, S. E. [1971]. Randomization and social affairs: the 1970 draft lottery. Science 171, 255-261.
81. Fienberg, S. E. [1972a]. The analysis of incomplete multi-way contingency tables. Biometrics 28, 177-202.
82. k contingency tables. Biometrika 59, 591-603.
83. Fienberg, S. E. [1979a]. Log linear representation for paired comparison models with ties and within-pair order effects. Biometrics 35, 479-481.
84. Fienberg, S. E. [1979b]. The use of chi-square statistics for categorical data problems. J. Roy. Statist. Soc. Ser. B 41, 54-64.
85. Fienberg, S. E. [1980]. Using loglinear models to analyze cross-classified categorical data. Math. Scientist 5, 13-30.
86. Fienberg, S. E. and Larntz, K. [1976]. Loglinear representation for paired and multiple comparisons models. Biometrika 63, 245-254.
87. Fienberg, S. E. and Mason, W. M. [1978]. Identification and estimation of ageperiod-cohort effects in the analysis of discrete archival data. Sociological Methodology 1979, 1-67.
88. Fisher, F. M. [1966]. The Identification Problem in Econometrics. New York, McGraw-Hill.
89. Fisher, R. A. [1950]. The significance of deviations from expectation in a Poisson series. Biometrics 6, 17-24.
90. Fleiss, J. L. [1973]. Statistical Methods for Rates and Proportions. New York, John Wiley.
91. Freedman, D., Pisani, R., and Purves, R. [1978]. Statistics. New York, W. W. Norton.
92. Gart, J. J. [1971]. The comparison of proportions: a review of significance tests, confidence intervals, and adjustments for stratification. Rev. Int. Statist. Inst. 39, 148-169.
93. Gokhale, D. V. [1971]. An iterative procedure for analysing log-linear models. Biometrics 27, 681-687.
94. Gokhale, D. V. [1972]. Analysis of loglinear models. J. Roy. Statist. Soc. Ser. B 34, 371-376.
95. Gokhale, D. V. and Kullback, S. [1978]. The Information in Contingency Tables. New York, Marcel Dekker.
96. Goldberger, A. S. [1964]. Econometric Theory. New York, John Wiley.
97. Goldstein, M. and Dillon, W. R. [1978]. Discrete Discrimination Analysis. New York, John Wiley.
98. Good, I. J. [1963]. Maximum entropy for hypotheses formulation especially for multidimensional contingency tables. Ann. Math. Statist. 34, 911-934.
99. Good, I. J. [1975]. The number of hypotheses of independence for a random vector or for a multidimensional contingency table, and the Bell numbers. Iranian J. Science and Technology 4, 77-83.
100. Goodman, L. A. [1963]. On methods for comparing contingency tables. J. Roy. Statist. Soc. A 126, 94-108.
101. Goodman, L. A. [1964]. Simultaneous confidence limits for cross-product ratios in contingency tables. J. Roy. Statist. Soc. Ser. 5 26, 86-102.
102. Goodman, L. A. [1968]. The analysis of cross-classified data: independence, quasiindependence, and interaction in contingency tables with or without missing cells. J. Amer. Statist. Assoc. 63, 1091-1131.
103. 2 and detecting partial association in three-way contingency tables. J. Roy. Statist. Soc. Ser. 5 31, 486-498.
104. Goodman, L. A. [1970]. The multivariate analysis of qualitative data: interactions among multiple classifications. J. Amer. Statist. Assoc. 65, 226-256.
105. Goodman, L. A. [1971a]. The analysis of multidimensional contingency tables: stepwise procedures and direct estimation methods for building models for multiple classifications. Technometrics 13, 33-61.
106. Goodman, L. A. [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.
107. Goodman, L. A. [1972]. A general model for the analysis of surveys. Amer. J. SocioL 77, 1035-1086.
108. Goodman, L. A. [1973a]. Causal analysis of data from panel studies and other kinds of surveys. Amer. J. SocioL 78, 1135-1191.
109. Goodman, L. A. [1973b]. The analysis of multidimensional contingency tables when some variables are posterior to others: a modified path analysis approach. Biometrika 60, 179-192.
110. Goodman, L. A. [1975]. A new model for scaling response patterns: an application of the quasi-independence concept. J. Amer. Statist. Assoc. 70, 755-768.
111. Goodman, L. A. [1979]. Simple models for the analysis of association in crossclassifications having ordered categories. J. Amer. Statist. Assoc. 74, 537-552.
112. Goodman, L. A. and Kruskal, W. H. [1954]. Measures of association for crossclassifications. J. Amer. Statist. Assoc. 49, 732-764.
113. Goodman, L. A. and Kruskal, W. H. [1959]. Measures of association for crossclassifications, II: further discussion and references. J. Amer. Statist. Assoc. 54, 123-163.
114. Goodman, L. A. and Kruskal, W. H. [1963]. Measures of association for crossclassifications, III: approximate sampling theory. J. Amer. Statist. Assoc. 58, 310-364.
115. Goodman, L. A. and Kruskal, W. H. [1972]. Measures of association for crossclassifications, IV: simplification of asymptotic variances. J. Amer. Statist. Assoc. 67, 415-421.
116. Grizzle, J. E. [1961]. A new method of testing hypotheses and estimating parameters for the logistic model. Biometrics 17, 372-385.
117. 2 test for 2 × 2 tables. Amer. Statist. 21, 28-32.
118. Grizzle, J. E., Starmer, C. F., and Koch, G. G. [1969]. Analysis of categorical data by linear models. Biometrics 25, 489-504.
119. Grizzle, J. E. and Williams, O. D. [1972], Loglinear models and tests of independence for contingency tables. Biometrics 28, 137-156.
120. Haberman, S. J. [1972]. Loglinear fit for contingency tables (Algorithm AS 51). Appl. Statist. 21, 218-225.
121. Haberman, S. J. [1973a]. Loglinear models for frequency data: sufficient statistics and likelihood equations. Ann. Math. Statist. 1, 617-632.
122. Haberman, S. J. [1973b]. Printing multidimensional tables (Algorithm AS 57). Appl. Statist. 22, 118-126.
123. Haberman, S. J. [1974a]. The Analysis of Frequency Data. Chicago, Univ. of Chicago Press.
124. Haberman, S. J. [1974b]. Loglinear models for frequency tables with ordered classifications. Biometrics 30, 589-600.
125. Haberman, S. J. [1977]. Log-linear models and frequency tables with small expected cell counts. Ann. Statist. 5, 1148-1169.
126. Haberman, S. J. [1978]. Analysis of Qualitative Data. Volume 1: Introductory Topics. New York, Academic Press.
127. Hansen, W. L., Weisbrod, B. A., and Scanlon, W. J. [1970]. Schooling and earnings of low achievers. Amer. Econ. Rev. 50, 409-418.
128. Heckman, J. J. [1977]. Dummy endogenous variables in a simultaneous equation system. Report 7726, Center for Mathematical Studies in Business and Economics, University of Chicago.
129. Hewlett, P. S. and Plackett, R. L. [1979]. The Interpretation of Quantal Responses in Biology. Baltimore, University Park Press.
130. 2. J. Amer. Statist. Assoc. 72, 508-515.
131. Hocking, R. R. and Oxspring, H. H. [1974]. The analysis of partially categorized contingency data. Biometrics 30, 469-484.
132. Hoyt, C. J., Krishnaiah, P. R., and Torrance, E. P. [1959]. Analysis of complex contingency data. J. Experimental Education 27, 187-194.
133. Imrey, P. B., Johnson, W. D., and Koch, G. G. [1976]. An incomplete contingency table approach to paired comparison experiments. J. Amer. Statist. Assoc. 71, 614-623.
134. Ireland, C. T. and Kullback, S. [1968]. Contingency tables with given marginals. Biometrika 55, 179-188.
135. Jennrich, R. I. and Moore, R. H. [1975]. Maximum likelihood estimation by means of nonlinear least squares. Tech. Report No. 3, Health Sciences Computing Facility, University of California, Los Angeles.
136. Kastenbaum, M. [1974]. Analysis of categorized data: some well-known analogues and some new concepts. Comm. Statist. 3, 401-417.
137. Katz, B. M. [1978]. Tests for equality of correlated proportions in a polychotomous response design. J. Educational Statist. 3, 145-178.
138. Kempthorne, O. [1979]. In dispraise of the exact test: reactions. J. Statist. Planning and Inference 3, 199-213.
139. Kihlberg, J. K., Narragon, E. A., and Campbell, B. J. [1964]. Automobile crash injury in relation to car size. Cornell Aero. Lab. Report No. VJ-1823-R11.
140. Killion, R. A. and Zahn, D. A. [1976]. A bibliography of contingency table literature: 1900-1974. Int. Statist. Rev. 44, 71-112.
141. Kimura, M. [1965]. Some recent advances in the theory of population genetics. Japan. J. Hum. Genet. 10, 43-48.
142. Kish, L. and Frankel, M. R. [1974]. Inference from complex samples (with discussion). J. Roy. Statist. Soc. Ser. B 36, 1-37.
143. Koch, G. G., Freeman, D. H., Jr., and Freeman, J. L. [1975]. Strategies in the multivariate analysis of data from complex surveys. Int. Statist. Rev. 43, 59-78.
144. Koch, G. G., Freeman, D. H., Jr., and Tolley, H. D. [1975]. The asymptotic covariance structure of estimated parameters from contingency table log-linear models. Unpublished manuscript.
145. Koehler, K. J. [1977]. Goodness of fit statistics for large sparse multinomials. Unpublished Ph. D. dissertation, School of Statistics, University of Minnesota.
146. Kruskal, W. H. [1968]. Tests of significance. Int. Encyclopedia of the Social Sciences 14, 238-250.
147. Ku, H. H. and Kullback, S. [1968]. Interaction in multidimensional contingency tables: an information theoretic approach. J. Res. Nat. Bur. Standards 72 B, 159-199.
148. Ku, H. H. and Kullback, S. [1974]. Loglinear models in contingency table analysis. Amer. Statist. 28, 115-122.
149. Ku, H. H., Varner, R. N., and Kullback, S. [1971]. Analysis of multidimensional contingency tables. J. Amer. Statist. Assoc. 66, 55-64.
150. Kullback, S. [1973]. Estimating and testing linear hypotheses on parameters in the log-linear model. Biomet. Zeit. 15, 371-388.
151. Kullback, S., Kupperman, M., and Ku, H. H. [1962]. An application of information theory to the analysis of contingency tables with a table of 2N ln N, N = 1 (1) 10, 000. J. Res. Nat. Bur. Standards 66 B, 217-243.
152. Lancaster, H. O. [1951]. Complex contingency tables treated by the partition of chi-square. J. Roy. Statist. Soc. Ser. B 13, 242-249.
153. Lancaster, H. O. [1957]. Some properties of the bivariate normal distribution considered in the form of a contingency table. Biometrika 49, 289-292.
154. Lancaster, H. O. [1969]. The Chi-squared Distribution, chapters 11 and 12. New York, John Wiley.
155. Lancaster, H. O. and Hamdan, M. A. [1964]. Estimation of the correlation coefficient in contingency tables with possible nonmetrical characters. Psychometrika 29, 381-391.
156. Larntz, K. [1973]. Small sample comparisons of chi-square statistics. Amer. Statist. Assoc. Proc, Social Statist. Sect. 336-339.
157. Larntz, K. [1978]. Small sample comparisons of exact levels for chi-square goodnessof-fit statistics. J. Amer. Statist. Assoc. 73, 253-263.
158. Larntz, K. and Weisberg, S. [1976]. Multiplicative models for dyad formation. J. Amer. Statist. Assoc. 71, 455-461.
159. Lee, S. K. [1975]. On asymptotic variances for loglinear models in contingency tables. Unpublished Ph. D. dissertation, School of Statistics, University of Minnesota.
160. Lee, S. K. [1977]. On the asymptotic variances of û terms in loglinear models of multidimensional contingency tables. J. Amer. Statist. Assoc. 72, 412-419.
161. Lindley, D. V. [1964]. The Bayesian analysis of contingency tables. Ann. Math. Statist. 35, 1622-1643.
162. Lindley, D. V. and Novick, M. R. [1975]. Inferences from large data sets to individual cases: use of appropriate conditional probabilities in exchangeable subpopulations. Unpublished manuscript.
163. Lindsey, J. K. [1973]. Inferences from Sociological Survey Data: A Unified Approach. New York, Elsevier.
164. Lombard, H. L. and Doering, C. R. [1947]. Treatment of the four-fold table by partial correlation as it relates to public health problems. Biometrics 3, 123-128.
165. Mallar, C. D. [1977]. The estimation of simultaneous probability models. Econometrical, 1717-1722.
166. Manski, C. F. and Lerman, S. R. [1976]. The estimation of choice probabilities from choice based samples. Unpublished manuscript.
167. Manski, C. F. and McFadden, D. [1977]. Alternative estimators and sample designs for discrete choice analysis. Unpublished manuscript.
168. Margolin, B. H. and Light, K. J. [1974]. An analysis of variance for categorical data, II: small sample comparisons with chi-square and other competitors. J. Amer. Statist. Assoc. 69, 755-764.
169. Maxwell, A. E. [1961]. Analysing Qualitative Data. London, Methuen.
170. McFadden, D. [1976]. Quantal choice analysis: a survey. Annals of Economic and Social Measurement 5, 363-390.
171. McHugh, R. B. [1956]. Efficient estimation and local identification in latent class analysis. Psychometrika 21, 331-347.
172. Meehl, P. E. and Rosen, A. [1955]. Antecedent probability and the efficiency of psychometric signs, patterns, or cutting scores. Psychol. Bull. 52, 194-216.
173. Morgan, B. J. T. and Titterington, D. M. [1977]. A comparison of iterative methods for obtaining maximum likelihood estimates in contingency tables with a missing diagonal. Biometrika 64, 265-271.
174. Morris, C. [1975]. Central limit theorems for multinomial sums. Ann. Statist. 3, 165-188.
175. Mosteller, F. [1951], Remarks on the method of paired comparisons, III: a test for paired comparisons when equal standard deviations and equal correlations are assumed. Psychometrika 16, 207-218.
176. Mosteller, F. [1968]. Association and estimation in contingency tables. J. Amer. Statist. Assoc. 63, 1-28.
177. Muthen, B. [1976]. Structural equation models with dichotomous dependent variables: a sociological analysis problem formulated by O. D. Duncan. Research Report 76-19, Department of Statistics, University of Uppsala, Sweden.
178. Nelder, J. A. [1974]. Log-linear models for contingency tables: a generalization of classical least squares. Appl. Statist. 23, 323-329.
179. Nelder, J. A. [1976]. Hypothesis testing in linear models (Letter to the Editor). Amer. Statist. 30, 101.
180. Nelder, J. A. and Wedderburn, R. W. M. [1972]. Generalized linear models. J. Roy. Statist. Soc. Ser. A 135, 370-384.
181. Nerlove, M. and Press, S. J. [1973]. Univariate and multivariate log-linear and logistic models. Rand Corporation Tech. Report R-1306-EDA/NIH, Santa Monica, Calif.
182. Neutra, R. R., Fienberg, S. E., Greenland, S., and Friedman, E. A. [1978]. The effect of fetal monitoring on neonatal death rates. New England Journal of Medicine 299, 324-326.
183. OdorofF, C. L. [1970]. A comparison of minimum logit chi-square estimation and maximum likelihood estimation in 2 × 2 × 2 and 3×2×2 contingency tables: tests for interaction. J. Amer. Statist. Assoc. 65, 1617-1631.
184. Pauling, L. [1971]. The significance of the evidence about ascorbic acid and the common cold. Proc. Natl. Acad. Sci. (USA) 68, 2678-2681.
185. Pearson, E. S. and Hartley, H. O. [1966]. Biometrika Tables for Statisticians, Volume 1 (3rd edition). London, Cambridge Univ. Press.
186. Pearson, K. [1900a]. On a criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philos. Mag. 50, No. 5, 157-175.
187. Pearson, K. [1900b]. Mathematical contributions to the theory of evolution in the inheritance of characters not capable of exact quantitative measurement, VIII. Philos. Trans. Roy. Soc. Ser. A 195, 79-150.
188. Pearson, K. and Heron, D. [1913]. On theories of association. Biometrika 9, 159-315.
189. Penick, B. K. E. and Owens, M. W. B. (eds.) [1976]. Surveying Crime. Washington, D. C., National Academy of Sciences.
190. Pielou, E. C. [1969]. An Introduction to Mathematical Ecology. New York, John Wiley.
191. Plackett, R. L. [1964]. The continuity correction in 2 × 2 tables. Biometrika 51, 327-337.
192. Plackett, R. L. [1965]. A class of bivariate distributions. J. Amer. Statist. Assoc. 60, 516-522.
193. Plackett, R. L. [1974]. The Analysis of Categorical Data. London, Griffin.
194. Ploog, D. W. [1967]. The behavior of squirrel monkeys (Saimiri sciureus) as revealed by sociometry, bioacoustics, and brain stimulation. In S. Altman (ed.), Social Communication Among Primates, pp. 149-184. Chicago, Univ. of Chicago Press.
195. Press, S. J. and Wilson, S. [1978]. Choosing between logistic regression and discriminant analysis. J. Amer. Statist. Assoc. 73, 699-705.
196. Rao, C. R. [1973]. Linear Statistical Inference and Its Applications (2nd edition). New York, John Wiley.
197. Rao, J. N. K. and Scott, A. J. [1979]. Statistical analysis of data from complex surveys. Unpublished manuscript.
198. Reiss, A. J., Jr. [1980]. Victim proneness by type of crime in repeat victimization. In S. E. Fienberg and A. J. Reiss, Jr. (eds.), Indicators of Crime and Criminal Justice: Quantitative Studies. Washington, D. C., U. S. Government Printing Office.
199. Reiss, I. L., Banwart, A., and Foreman, H. [1975]. Premarital contraceptive usage: a study and some theoretical explorations. J. Marriage and the Family 37, 619-630.
200. Ries, P. N. and Smith, H. [1963]. The use of chi-square for preference testing in multidimensional problems. Chemical Engineering Progress 59, 39-43.
201. Rosenberg, M. [1962]. Test factor standardization as a method of interpretation. Social Forces 41, 53-61.
202. Roy, S. N. and Kastenbaum, M. A. [1956]. On the hypothesis of no "interaction" in a multi-way contingency table. Ann. Math. Statist. 27, 749-757.
203. Roy, S. N. and Mitra, S. K. [1956]. An introduction to some nonparametric generalizations of analysis of variance and multivariate analysis. Biometrika 43, 361-376.
204. Savage, I. R. [1973]. Incomplete contingency tables: condition for the existence of unique MLE. In P. Jagars and L. Rade (eds.), Mathematics and Statistics. Essays in Honour of Harold Bergström, pp. 87-90. Göteborg, Sweden, Chalmers Institute of Technology.
205. Schoener, T. W. [1968]. The anolis lizards of Bimini: resource partitioning in a complex fauna. Ecology 49, 704-726.
206. Sewell, W. H. and Shah, V. P. [1968]. Social class, parental encouragement, and educational aspirations. Amer. J. Sociol. 73, 559-572.
207. Simon, G. [1974]. Alternative analyses for the singly-ordered contingency table. J. Amer. Statist. Assoc. 69, 971-976.
208. Simpson, E. H. [1951]. The interpretation of interaction in contingency tables. J. Roy. Statist. Soc. Ser. B 13, 238-241.
209. Snedecor, G. W. and Cochran, W. G. [1967]. Statistical Methods (6th edition). Ames, Iowa, Iowa State Univ. Press.
210. Sokal, R. R. and Rohlf, F. J. [1969]. Biometry. San Francisco, W. H. Freeman.
211. Solomon, H. [1961]. Classification procedures based on dichotomous response vectors. In H. Solomon (ed.), Studies in Item Analysis and Prediction, pp. 177-186. Stanford, Stanford Univ. Press.
212. Stouffer, S. A. and Toby, J. [1951]. Role conflict and personality. Amer. J. Sociol. 56, 395-406.
213. Sundberg, R. [1975]. Some results about decomposable (or Markov-type) models for multidimensional contingency tables: distribution of marginals and partitioning of tests. Scand. J. Statist. 2, 71-79.
214. Talbot, J. and Mason, W. M. [1975]. Analysis of the 4-way table: one-third of a nation data. Unpublished manuscript.
215. Taubman, P. and Wales, T. [1974]. Higher Education and Earnings: College as an Investment and a Screening Device. New York, McGraw-Hill.
216. Thorndike, R. L. and Hagen, E. P. [1959]. Ten Thousand Careers. New York, John Wiley.
217. Truett, J., Cornfield, J., and Kannel, W. [1967]. A multivariate analysis of the risk of coronary heart disease in Framingham. J. Chron. Dis. 20, 511-524.
218. Van Alstyne, D. J. and Gottfredson, M. R. [1978]. A multidimensional contingency table analysis of parole outcome: new methods and old problems in criminological prediction. J. Research in Crime and Delinquency 15, 172-193.
219. Wakeley, P. C. [1954]. Planting the southern pines, U. S. Dept. Agr. Forest Serv. Agr. Monogr. 18, 1-233.
220. Walker, S. H. and Duncan, D. B. [1967]. Estimation of the probability of an event as a function of several independent variables. Biometrika 54, 167-179.
221. Wermuth, N. [1976a]. Analogies between multiplicative models in contingency tables and covariance selection. Biometrics 32, 95-108.
222. Wermuth, N. [1976b]. Model search among multiplicative models. Biometrics 32, 253-264.
223. Whittemore, A. S. [1978]. Collapsibility of multidimensional contingency tables. J. Roy. Statist. Soc. Ser. 5 40, 328-340.
224. Williams, D. A. [1976]. Improved likelihood ratio tests for complete contingency tables. Biometrika 63, 33-37.
225. Williams, O. D. and Grizzle, J. E. [1972]. Analysis of contingency tables having ordered response categories. J. Amer. Statist. Assoc. 67, 55-63.
226. Wing, J. K. [1962]. Institutionalism in mental hospitals. Brit. J. Soc. Clin. Psychol. 1, 38-51.
227. Wold, H. and Jureen, L. [1953]. Demand Analysis. New York, John Wiley.
228. Wright, S. [1960]. Path coefficients and path regressions: alternatives in complementary concepts? Biometrics 16, 423-445.
229. 2 goodness-of-fit tests and the accuracy of approximation for the null distribution. J. Amer. Statist. Assoc. 65, 864-886.
230. 2-test. J. Roy. Statist. Soc. Suppl. 1, 217-235.
231. Yule, G. U. [1900]. On the association of attributes in statistics: with illustration from the material of the childhood society, Philos. Trans. Roy. Soc. Ser. A 194, 257-319.
232. Yule, G. U. [1903]. Notes on the theory of association of attributes in statistics. Biometrikal, 121-134.