Tamás Rudas – List of Publications

BOOKS

Rudas, T., Péli, G. (eds.) (2021) Pathways Between Social Science and Computational Social Science: Theories, Methods and Interpretations. Springer, New York

Rudas, T. (2018)  Lectures on Categorical Data Analysis, Springer, New York

Rudas, T. (ed. ) (2008) Handbook of Probability: Theory and Applications, Sage Publ., Thousand Oaks, CA

Rudas, T. (2006) Opinion Polls (2nd Ed.) Corvina, Budapest (Hung.)

Rudas, T. (2004) Probability Theory: a Primer. Sage Publ., Thousand Oaks , CA.

Rudas, T. (1998) Odds Ratios in the Analysis of Contingency Tables. Sage Publ., Thousand Oaks, CA.

Rudas, T. (1998) Opinion Polls: A User's Guide. Uj Mandatum, Budapest (Hung.)

Rudas, T. (ed.) (1992) DISTAN 2.0 Manual. Social Science Informatics Center, Budapest.

Kolosi, T., Rudas, T. (1988) Empirical Problem Solution in Sociology. OMIKK-TARKI, Budapest (Hung.).

Rudas, T. (1982) The Analysis of Contingency Tables. Lecture Notes, Eotvos University, Budapest, second printing: 1993 (Hung.)

JOURNAL ARTICLES AND BOOK CHAPTERS

Klimova, A., Rudas, T. (2021) Hierarchical Aitchison-Silvey models for incomplete binary sample spaces. Journal of Multivariate Analysis. 187 (2022) https://doi.org/10.1016/j.jmva.2021.104808

Klimova, A., Rudas, T. (2021) Testing the fit of relational models. Communications in Statistics: Theory and Methods. 1-20. https://doi.org/10.1080/03610926.2021.1891437

Szeitl, B., Rudas, T. (2021) Reducing variance with sample allocation based on expected response rates in stratified sample designs. Journal of Survey Statistics and Methodology, 1-14. https://doi.org/10.1093/jssam/smab021

Arató, M., Katona, G. O. H., Michaletzky, G., Móri, T. H., Pintz, J., Rudas, T., Székely, G. J., Tusnády, G. (2021) Rényi 100, quantitative and qualitative (in)dependence. Acta Mathemaica Hungarica. 1-56. https://link.springer.com/article/10.1007%2Fs10474-021-01164-4

Szeitl, B., Rudas, T. (2020) Reducing variance with sample allocation based on expected response rates. 2005.12168.pdf (arxiv.org)

Kmetty, Z., Koltai, J., Rudas, T. (2020) The presence of occupational structure in online texts based on word embedding NLP models. 2005.08612.pdf (arxiv.org) 

Rudas, T., Escoufier Y. (2020) Prescribed conditional interaction models for binary contingency tables. Mathematical Statistics Theory and Applications. 2, 339-342.

Rudas, T., Verdes, E., Medzihorsky, J. (2019) Model based analysis of incomplete data using the mixture index of fit. In: G. R. Hancock, J. R. Harring and G. B. Macready (Eds.), Advances in latent class analysis: A Festschrift in Honor of C. Mitchell Dayton. Charlotte, NC: Information Age Publishing, Inc. pp 167-180.

Klimova, A., Rudas,T. (2018) On the role of the overall effect in exponential families. Electronic Journal of Statistics, 12, (2) 2430 - 2453.

Klimova, A., Rudas,T. (2016) On the closure of relational models. Journal of Multivariate Analysis, 143: pp. 440-452.

Rudas, T. (2015) Effects and interactions. Methodology, 11, 142-149.

Rudas, T. (2015) Directionally collapsible parameterizations of multivariate binary distributions Statistical Methodology, 27, 132-145.

Klimova, A., Rudas, T. (2015) Iterative Scaling in Curved Exponential Families. Scandinavian Journal of Statistics, 42, 832-847

Klimova, A., Uhler, C., Rudas, T. (2015) Faithfulness and learning of hypergraphs from discrete distributions. Computational Statistics and Data Analysis, 87, 57-72.

Rudas, T. (2014) Log-linear and marginal models. In: Wright, J (ed) International Encyclopedia of Social and Behavioral Sciences 2nd ed, Vol 14, 322-327. Elsevier.

Clogg, C. C., Rudas, T., Xi, L. (2014) A New Index of Structure for the Analysis of Models for Mobility Tables and Other Cross-Classifications. In: Yang, K. (ed) Categorical Data Analysis, Sage (reprint of the 1994 article)

Nemeth, R., Rudas, T. (2013) Discrete Graphical Models in Social Mobility Research -A Comparative Analysis of American, Czechoslovakian and Hungarian Mobility before the Collapse of State Socialism. Bulletin of Sociological Methodology, 118, 5-21.

Rudas, T., Nemeth R. (2013) Rejoinder: On the application of discrete marginal graphical models. Sociological Methodology, 43, 130-132.

Nemeth, R., Rudas, T. (2013) On the application of discrete marginal graphical models. Sociological Methodology, 43, 70-100.

Klimova, A., Rudas, T. (2012) Coordinate free analysis of trends in British social mobility. Journal of Applied Statistics, 39, 1681-1691.

Klimova, A., Rudas, T., Dobra, A. (2012) Relational models for contingency tables. Journal of Multivariate Analysis, 104, 159-173.

Rudas, T., Bergsma, W., Nemeth, R. (2010) Marginal log-linear parameterization of conditional independence models. Biometrika, 97(4), 1006-1012.

Rudas, T. (2010) Informative Allocation and Consistent Treatment Selection. Statistical Methodology, Special Issue on Statistics in the Social Sciences, 7, 323-337.

Rudas, T. (2010) Probabiility: an Outline, in: Lovric, M. (ed) International Encyclopedia of Statistics, 1123-1126, Springer.

Rudas, T. (2010) Probability Theory, in: McGaw, B., Peterson, P.,  Baker, E. (eds) International Encyclopedia of Education, 3rd Ed., Vol 7, 378-382.

Rudas, T. (2008) Probability, in: Lavrakas, P. (ed.) Encyclopedia of Survey Research Methods. . Sage Publ., Thousand Oaks, CA.

Rudas, T. (2008) Probability Theory in Statistics, in: Rudas, T. (ed.) Handbook of Probability: Theory and Applications, 69-84. Sage Publ., Thousand Oaks, CA.

Rudas, T. (2006) The margin of error as a function of the estimand, in Tardos, R., Angelusz, R. (eds.) From Measurement to Measurement – Methodological Issues in Election Research, 17-40. D.K.M.K.K.A., Budapest (Hung).

Batyrshin, I., Rudas, T. (2006) Invariant Hierarchical Clustering Schemes, in: Batyrshin, I., Sheremetov, L., Kacprzyk, J., Zadeh, L. (eds.) Perception Based Data Mining and Decision Making in Economics and Finance. Studies in Fuzziness and Soft Computing, Springer.

Rudas, T. (2005) Mixture Models of Missing Data. Quality & Quantity 39, 19-36.

Rudas, T. (2005) Odds and odds ratios, in: Everitt, B, Howell, D. (eds). Encyclopedia of Statistics in Behavioral Science, 1462-1467,Wiley.

Rudas, T., Bergsma, P. (2004) On Applications of Marginal Models to Categorical Data. Metron 42, 15-37.

Rudas, T. (2003) Law of large numbers. in: Lewis-Beck, M., Bryman, A. E., Liao, T. F. (eds.) The SAGE Encyclopedia of Social Science Research Methods. 558. Sage Publ., Thousand Oaks, CA.

Rudas, T. (2003) Prior probability. in: Lewis-Beck, M., Bryman, A. E., Liao, T. F. (eds.) The SAGE Encyclopedia of Social Science Research Methods. 859. Sage Publ., Thousand Oaks, CA.

Rudas, T. (2003) Probabilistic. in: Lewis-Beck, M., Bryman, A. E., Liao, T. F. (eds.) The SAGE Encyclopedia of Social Science Research Methods. 865-866. Sage Publ., Thousand Oaks, CA.

Rudas, T. (2003) Probability. in: Lewis-Beck, M., Bryman, A. E., Liao, T. F. (eds.) The SAGE Encyclopedia of Social Science Research Methods. 866-869. Sage Publ., Thousand Oaks, CA.

Rudas, T. (2003) Probability density function. in: Lewis-Beck, M., Bryman, A. E., Liao, T. F. (eds.) The SAGE Encyclopedia of Social Science Research Methods. 869-870. Sage Publ., Thousand Oaks, CA.

Rudas, T. (2003) Probability value. in: Lewis-Beck, M., Bryman, A. E., Liao, T. F. (eds.) The SAGE Encyclopedia of Social Science Research Methods. 870-871. Sage Publ., Thousand Oaks, CA.

Bergsma, W., Rudas, T. (2003) On conditional and marginal association, Annales de la Faculte des Sciences de Toulouse, 11, 455-468.

Rudas, T. (2002) Canonical representation of log-linear models. Communications in Statistics (Theory and Methods), 31, 2311-2323.

Bergsma, W. P., Rudas, T. (2002) Marginal models for categorical data. Annals of Statistics, 30, 140-159.

Rudas, T. (2002) A latent class approach to measuring the fit of a statistical model. In Hagenaars, J., McCutcheon, A. (eds.) Applied Latent Class Analysis, Cambridge University Press.

Németh, R., Rudas, T. (2002) Sample selection with the Kish grid. Statisztikai Szemle, 80, 309-327. (Hung.)

Bergsma, W., Rudas, T. (2002) Variation independent parameterizations of multivariate categorical distributions. In: Cuadras, C. M., Fortiana, J., Rodriguez-Lallena, J. A. (eds.) Distributions with Given Marginals and Statistical Modelling. Kluwer, 21-27

Verdes, E., Rudas, T. (2002) The π* Index as a New Alternative for Assessing Goodness od Fit of Logistic Regression. In: Haitovsky, Y., Lerche, H. R., Ritov, Y. (eds.) Foundations of Statistical Inference. Springer, 167-177.

Rudas, T. (1999) The mixture index of fit and minimax regression. Metrika, 50, 163-172.

Rudas, T. (1998) A new algorithm for the maximum likelihood estimation of graphical log-linear models. Computational Statistics, 13, 529-537.

Clogg, C.C., Rudas, T., Matthews, S. (1997) Analysis of model misfit, structure, and local structure in contingency tables using graphical displays based on the mixture index of fit. in Blasius, J., Greenacre, M.(eds.) Visualization of Categorical Data, 425-439, Academic Press.

Rudas, T., Zwick, R. (1997) Estimating the importance of differential item functioning. Journal of Educational and Behavioral Statistics, 22, 31-45.

Vargha, A., Rudas, T. Delaney, H. D., Maxwell, S. E. (1996) Dichotomization, partial correlation, and conditional independence. Journal of Educational and Behavioral Statistics, 21, 264-282.

Clogg, C. C., Rudas, T., Xi, L. (1995) A new index of structure for the analysis of models for mobility tables and other cross-classifications. in: P. Marsden (ed.) Sociological Methodology 1995, 197-222, Blackwell, Oxford.

Rudas, T., Clogg., C. C., Lindsay, B. G. (1994) A new index of fit based on mixture methods for the analysis of contingency tables. Journal of the Royal Statistical Society, B, 56, No 4, 623-639.

Rudas, T., Fekete-Miski, A., Miski, Z. (1993) Simulation studies with a simple sampling method. in: Kolosi, T. (ed.) Measurement in the Social Sciences, 80-87, OMIKK-TARKI, Budapest (Hung.)

Rudas, T. (1992) Mixed linear and multiplicative models. in: T. Rudas (ed.) DISTAN 2.0 Manual, 81-128, Social Science Informatics Center, Budapest.

Rudas, T., Leimer, H.-G. (1992) Analysis of contingency tables with known conditional odds ratios or known log-linear parameters. in: Francis, B., Seeberg, G. U. H., van der Heijden, P. G. M., Jansen, W. (eds.) Statistical Modeling, 313-322, Elsevier.

Rudas, T. (1991) Prescribed conditional interaction structure models with application to the analysis of mobility tables. Quality & Quantity 25, 345-358.

Rudas, T. (1990) Contribution to the discussion of the papers by Wermuth and Lauritzen and Edwards. Journal of the Royal Statistical Society (Ser B), 52, 55-56.

Kis-Varga, A., Rudas, T., Czeizel, A. (1989) A new approach to the germinal mutation surveillance: a pair-wise evaluation of component elements in unidentified multiple congenital abnormalities. Mutation Research, 238, 87-97.

Leimer, H.-G., Rudas, T. (1989) Conversion between GLIM- and BMDP-type log-linear parameters. GLIM Newsletter 19, 47.

Czeizel, A., Sankaranarayanan, K., Losonci, A., Rudas, T., Keresztes, M. (1988) The load of genetic and partially genetic diseases in man II. Some selected common multifactorial diseases: estimates of population prevalence and of detriment in terms of years lost and impaired life. Mutation Research, 196, 259-292.

Rudas, T. (1987) Testing goodness of fit of log-linear models based on small samples: a Monte Carlo study. in: Sarkadi, Sen, Vincze (eds.) Colloquia Societas Janos Bolyai, 45 Goodness of fit, Debrecen (Hungary), 1984, 467-483, North-Holland.

Kovach, I., Robert, P., Rudas, T. (1987) Closer to the dimensions of mobility. Szociológia 1987/1, 79-100 (Hung.).

Lendvai, J., Rudas, T. (1987) Introduction to the analysis of panel data. in: Varadi (ed.) The Analysis of Panel Data, 5-31. Mass Communication Research Centre, Budapest (Hung.).

Kovach, I., Robert, P., Rudas, T. (1987) Towards the dimensions of mobility. in: Andorka, Bertalan (eds.) Economy and Society in Hungary, Hungarian Sociological Studies, 3, 153-183. Hungarian Sociological Association, Budapest.

Rudas, T. (1986) Maximum likelihood estimation of direct log-linear models. Alkalmazott Matematikai Lapok, 11, 349-362 (Hung.)

Rudas, T. (1986) A Monte Carlo comparison of the small sample behaviour of the Pearson, the likelihood ratio and the Cressie-Read statistics. Journal of Statistical Computation and Simulation, 24, 107-120.

Rudas, T. (1986) The analysis of associations between variables. Chapter V. in: Mori, Szekely (eds.) Multivariate Statistical Analysis, 71-94. Technical Publ. Budapest (Hung.).

Rudas, T. (1986) Log-linear analysis of contingency tables. Chapter XI. in: Mori, Szekely (eds.) Multivariate Statistical Analysis, 191-207. Technical Publ. Budapest (Hung.)

Vitez, M., Koranyi, G., Gonczy, E., Rudas, T., Czeizel, A. (1984) A semiquantitative score system for epidemiologic studies of fetal alcohol syndrome. American Journal of Epidemiology, 119, 301-308.

Csepeli, Gy., Lengyel, Zs., Rudas, T., Rajkay, A., Molcsotar, H. (1984) Assumed influence and its effect on person perception. Magyar Pszichologiai Szemle 1984/5, 382- 389, (Hung.).

RESEARCH REPORTS AND CONFERENCE PROCEEDINGS

Klimova A.; Rudas T. (2017) On the role of the overall effect in exponential families. pp. 1-24. arXiv:1706.02946

Rudas, T., Klimova A. (2016) Testing the fit of relational models. arXiv:1612.02416

Klimova A.; Rudas T. (2016) On variants of the iterative scaling algorithm. In: Blanco-Fernandez A.; Gonzalez-Rodriguez (ed.) 2nd International Conference on Computational Statistics. Oviedo, Spain, 2016. 08. 23-2016. 08. 26. p. 54. (Book of Abstracts)

Rudas T. (2016) Model based analysis of incomplete data with non-ignorable missing data mechanism. In: Sesé A; Jiménez R; Gervilla E; Cajal B; Palmer A; Montano J J; Borrás C; Pérez-Pareja J.(ed.) VII. Congress of the European Association of Methodology (EAM). Palma de Mallorca, Spain, 2016. 07. 27-2016.07.29. p. 141. (Book of Abstracts)

Rudas T. (2016) Simpson's paradox and a linear concept of association In: E J Kontoghiorghes, H Van Dijk, A M Colubi (ed) Simpson's paradox and a linear concept of association. London, 2015.12.12-2015.12.14. London: Elsevier, (Econometrics and Statistics)

Rudas T. (2015) On the measurement of effects and interactions. In: 14th Congress of the Methodology of the Social Sciences. Palma de Mallorca, Spain, 2015.07.22-2015.07.24. Palma de Mallorca: Paper 8. (Book of Abstracts)

Klimova, A., Rudas, T. (2015) On the closure of relational models. arXiv: 1501.00600

Rudas, T. (2014) Directionally collapsible parameterizations of multivariate binary distributions. arXiv: 1408.2489

K;limova, A., Uhler, C., Rudas, T. (2014) Faithfulness and learning of hypergraphs from discrete distributions. arXiv: 1404.6617

Klimova, A., Rudas, T. (2013) Iterative Scaling in Curved Exponential Families, arXiv: 1307.3282

Klimova, A.,  Rudas, T. (2013) gIPFrm: Generalized iterative proportional fitting for relational models. R package version 1.1, 

Klimova, A., Rudas, T. (2011) Coordinate free analysis of trends in British social mobility. Working Paper 112, Center for Statistics and the Social Sciences, University of Washington.

Klimova, A., Rudas, T., Dobra, A. (2011) Relational models for contingency tables. Working Paper 109, Center for Statistics and the Social Sciences, University of Washington.

Koltai, J., Rudas, T. (2008) Weighting procedures for the retrospective household panel, in: Kolosi, T., Toth, I. Gy. (eds)  The Hungarian Retrospective Household Panel, Tarki, Budapest, 205-219.

Hermann, D., Rudas, T. (2008) Mortality and sample attrition, in: Kolosi, T., Toth, I. Gy. (eds)  The Hungarian Retrospective Household Panel, Tarki, Budapest, 220-226.

Rudas, T., Bergsma, W., Nemeth, R. (2006) Parameterization and estimation of path models for categorical data. In: Rizzi, A., Vichi. M. (eds.) COMPSTAT 2006., 383-394, Physica-Verlag.

Rudas, T., Bergsma, W. (2004) Letter to the Editor, Statistics in Medicine, 23, 3545-3547.

Rudas, T. (2004) Assessment of model fit based on incomplete data. Proceedings of the 2003 Joint Statistical Meetings, San Francisco, American Statistical Association, 3576-3582.

Batyshin, I. Z., Rudas, T., Klimova, A. (2004) On a general scheme of invariant clustering procedures based on  fuzzy similarity relations.  In

Batyrshin, I., Kacprzyk, J., Sheremetov, L. (eds.)  Proceedings of the International Conference on Fuzzy Sets and Soft Computing in Economics and Finance. Instituto Mexicano del Petroleo and  Russian Fuzzy Systems Association, 122-129.

Bergsma, W., Rudas, T. (2002) Restricting the marginals of contingency tables: potential problems and how can they be avoided. In: Mrvar, A., Ferligoj, A. (eds.) Developments in Statistics. Metodoloski Zvezki, 17, 75-86. University of Ljubljana.

Csiszar, I.., Tusnady, G., Ispany, M., Verdes, E. Michaletzky, Gy., Rudas, T. (2001) Divergence minimization under prior inequality constraints. Proceedings of the IEEE International Symposium on Information Theory, 21. Washington, DC.

Rudas, T., Bergsma, W. P. (2001) On generalized symmetry. The Quasi Symmetry Project. 

Verdes, E., Rudas, T. (2001) The pi-star index as a new alternative for assessing goodness-of-fit of logistic regression. In: Gregori, D., Rozbowsky, P., Luisa, L., Torelli, N., Gori, E. (eds.) Proceedings of the Fifth Youngs Statisticians Meeting, 45-54, Edizioni Universita di Trieste.

Batyrshin, I., Rudas, T. (2000) Invariant clustering procedures based on corrections of similarities. In: Proceedings of the 8th Zittau Fuzzy Colloquium, 302-309, Fachhochschule Zittau.

Bergsma, W., Rudas, T. (2000) Smooth and variation independent marginal parameterizatrions and implications for modeling. In: Collected papers on marginal models, precision of estimation and parameter orthogonality. WORC paper 00.08.04, 1-22, Tilburg University Press.

Bergsma, W., Rudas, T. (2000) Marginal log-linear parameterizations: applications and potential pitfalls. In: Collected papers on marginal models, precision of estimation and parameter orthogonality. WORC paper 00.08.04, 23-38, Tilburg University Press.

Szivos, P., Rudas, T., Toth, I. Gy. (1998) A tax-benefit microsimulation model. TARKI, Budapest. (Hung.)

Rudas, T. (1998) On conditional independence interpretation of log-linear models. in M. Huskova, J. A. Visek, P. Lachout (eds.) Proceedings of Prague Stochastics 98, Vol. 2, 493-496. Union of Czech Mathematicians and Physicists, Prague.

Rudas, T. (1998) Minimum mixture estimation and regression analysis. in B. Marx, H. Friedl (eds.) Statistical Modeling - Proceedings of the 13th International Conference, 340-347, Luisiana State University.

Rudas, T. (1998) The mixture index of fit. in Ferligoj (ed.) Advances in Methodology, Data Analysis and Statistics, 15-22, University of Ljubljana.

Rudas, T., Zwick, R.(1995) Measuring the importance of differential item functioning. Research Report, Educational Testing Service, Princeton, NJ.

Rudas, T., Clogg, C. C., Lindsay, B. G. (1993) A new index of fit based on mixture methods for the analysis of contingency tables. Preprint 93-1, Center for Likelihood Studies, Department of Statistics, the Pennsylvania State University, State College, PA.

Rudas, T. (1992) Maximum likelihood estimation in intersections of models. Social Science Informatics Center, Budapest, preprint 1992/1.

Molnar, L. D., Reiczigel, J., Rudas, T., Gardos, E. (1992) Monte-Carlo and bootstrap methods for the analysis of multidimensional contingency tables using loglinear Models. Social Science Informatics Center, Budapest, preprint 1992/4.

Rudas, T., Leimer, H.-G. (1991) Analysis of contingency tables with known conditional odds ratios or known log-linear parameters. Proceedings of the 6th International Workshop on Statistical Modelling, Utrecht, Methods Series MS 91-2, 271-282, University of Utrecht.

Bornemisza, E., Rudas, T. (1990) The DISTAN package for discrete statistical analysis in: Gladitz, Troitzsch (eds.) Computer Aided Sociological Research - CASOR 89, 155-162, Akademie Verlag, Berlin.

Rudas, T. (1990) DISTAN for discrete statistical analysis. in: Faulbaum, Haux, Jockel (eds.) SoftStat'89, Fortschritte der Statistik-Software 2, 144-154, Gustav Fischer Verlag, Suttgart, New York.

Rudas, T. (1990) Maximum likelihood estimation of mixed linear and multiplicative models using DISTAN. in: Momirovic, Mildner (eds.) COMPSTAT 1990, Proceedings Computational Statistics, 127-132, Physica Verlag, Heidelberg.

Rudas, T. (1990) DISTAN for discrete statistical analysis: Help Text. Social Science Informatics Center, Budapest, Preprint 1990/1.

Rudas, T. (1990) Maximum likelihood estimation in intersections of models. Social Science Informatics Center, Budapest, Preprint 1990/4.

Rudas, T. (1989) Marginal and partial association models. Social Science Informatics Center, Budapest, Preprint 1989/1.

Rudas, T. (1989) DISTAN for discrete statistical analysis: an overview. Social Science Informatics Center, Budapest, Preprint 1989/2.

Bartfai, P., Rudas, T. (1988) Conditionally independent extension of measures. Preprint No 57/1988, Mathematical Institute, Hungarian Academy of Science.

Leimer, H.-G., Rudas, T. (1988) Contingency tables with prescribed conditional odds ratios or prescribed log-linear parameters. Forschungsberichte zur Stochastik und verwandte Gebiete, Johannes Gutenberg Universitat, Mainz, 88-1.

Kobor, Gy., Rudas, T. (1987) Discriminant analysis for categorical variables, program description. Social Science Informatics Center Newsletter, 5, 33-44.Budapest (Hung.).

Rudas, T. (1987) Prescribed conditional interaction models for binary contingency tables. in: Prohorov, Sazonov (eds.) Proceedings of the First World Congress of the Bernoulli Society, Vol 2., 339-342, VNU Science Press, Utrecht.

Rudas, T. (1986) A fast algorithm for some exploratory methods in categorical data problems. in: De Antoni, Lauro, Rizzi (eds.) COMPSTAT 1986, Proceedings in Computational Statistics, 49-54, Physica Verlag, Heidelberg, Wien.

Rudas, T. (1984) Stepwise discriminant analysis procedure for categorical variables. in: Havranek, Sidak, Novak (eds.) COMPSTAT 1984, Proceedings in Computational Statistics, 389-394, Physica Verlag, Wien.

Rudas, T. (1984) The analysis of associations between variables. in: Rejto (ed) Multivariate Statistical Methods, 174-225. Janos Bolyai Mathematical Society, Budapest (Hung.).

Rudas, T. (1984) Log-linear analysis of contingency tables. in: Rejto (ed.) Multivariate Statistical Methods II, 292-321. Janos Bolyai Mathematical Society, Budapest (Hung.).

Rudas, T. (1980) Regression analysis in the social sciences. Mass Communication Research Centre, Budapest (Hung.).

Rudas, T. (1980) Cluster analysis with BMDP. in: Short description of the BMDP package. MTA SZTAKI Working Paper, Budapest (Hung.).

Tolgyesi, J., Rudas, T. (1980) Applications of the SIMULA programming language in the social sciences. Mass Communication Research Centre, Budapest (Hung.).

Rudas, T. (1979) Randomized response techniques. Mass Communication Research Centre, Budapest (Hung.).

Rudas, T. (1979) Factor analysis in the social sciences. Mass Communication Research Centre, Budapest (Hung.).


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