Rudas Tamás – Publikációs lista
KÖNYVEK
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) Közvélemény-kutatás (2. kiadás) Corvina, Budapest
Rudas, T. (2004) Probability Theory: A Primer. Sage Publ., Thousand Oaks, California
Rudas T. (1998) Hogyan olvassunk közvélemény-kutatásokat. Új Mandátum, Budapest
Rudas, T. (1998) Odds Ratios in the Analysis of Contingency Tables. Sage Publ., Thousand Oaks, California
Rudas, T. (ed.) (1992) DISTAN 2.0 Manual. Social Science Informatics Center, Budapest
Kolosi T., Rudas T. (1988) Empirikus problémamegoldás a szociológiában. OMIKK-TÁRKI, Budapest
Rudas T. (1982) Kontingencia táblák elemzése. Egyetemi jegyzet, ELTE, Budapest, újranyomás: 1993.
FOLYÓIRAT CIKKEK ÉS KÖNYVFEJEZETEK
Davidov, O., Rudas T. (2023) On the use of historical estimates. Statistical Papers, 1-34 https://doi.org/10.1007/s00362-022-01375-z
Szeitl, B., Rudas, T. (2022) Reducing variance with sample allocation based on expected response rates in stratified sample designs. Journal of Survey Statistics and Methodology, 10, 1107-1120. https://doi.org/10.1093/jssam/smab021
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
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).
Németh, 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., Németh R. (2013) Rejoinder: On the application of discrete marginal graphical models. Sociological Methodology, 43, 130-132.
Németh, 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., Elsevier, 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) A hibahatár a becsült mennyiség függvényében – a mért pártpreferenciák téves értelmezésének egyik forrása, in: Tardos R., Angelusz R. Mérésről mérésre – a választáskutatás módszertani kérdései, 17-40.. D.K.M.K.K.A., Budapest
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 ofStatistics 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) Probability, Prior probability, Probabilisitc, Probability value, Probability density function, Law of large numbers, in Byrman, A., Liao, T. F., Lews-Beck, M. (eds.) Encyclopedia of Social Science Research Methods, Sage.
Bergsma, W., Rudas, T. (2003) On conditional and marginal association, Annales de la Faculte des Sciences de Toulouse, (6) 11, 443-454.
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.
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.
Németh R., Rudas T. (2002) Mintavétel a Leslie Kish-kulcs alkalmazásával. Statisztikai Szemle, 80, 309-327.
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, Ser. B, 56, No 4, 623-639.
Rudas T., Fekete-Miski A., Miski Z. (1993) Egy egyszerű mintavételi eljárás szimulációs vizsgálata. in: Kolosi T. (szerk.) Mérés a társadalomtudományokban, 80-87, OMIKK-TARKI, Budapest.
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.
Kovách, I., Róbert, P., Rudas, T. (1987) A mobilitás igazi dimenziói. Szociológia 1987/1, 79-100.
Lendvay, J., Rudas, T. (1987) Bevezetés a panel adatok elemzéséhez. in: Váradi (szerk.) A panel adatok elemzése, 5-31. Tömegkommunikációs Kutatóközpont, Budapest.
Kovách 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) Direkt loglineáris modellek maximum likelihood becslése. Alkalmazott Matematikai Lapok, 11, 349-362.
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) A változók közötti kapcsolatok elemzése. in: Móri, Székely (szerk.) Többváltozós statisztikai analízis, 71-94. Műszaki Könyvkiadó, Budapest.
Rudas T. (1986) Kontingencia táblák loglineáris elemzése. in: Móri, Székely (szerk.) Többváltozós statisztikai analízis, 191-207. Műszaki Könyvkiadó, Budapest
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., Molcsotár H. (1984) A feltételezett befolyásolás hatása a személyészlelésre. Magyar Pszichológiai Szemle 1984/5, 382-389.
KUTATÁSI BESZÁMOLÓK ÉS KONFERENCIA KÖTETEK
Klimova A.; Rudas T. (2017) On the role of the overall effect in exponential families. pp. 1-24.
Rudas, T., Klimova A. (2016) Testing the fit of relational models.
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. Konferencia helye, ideje: Oviedo, Spanyolország, 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). Konferencia helye, ideje: Palma de Mallorca, Spanyolország, 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. Konferencia helye, ideje: Palma de Mallorca, Spanyolország, 2015.07.22-2015.07.24. Palma de Mallorca: Paper 8. (Book of Abstracts) 8., Book of Abstracts,
Klimova, A., Rudas, T. (2015) On the closure of relational models.
Rudas, T. (2014) Directionally collapsible parameterizations of multivariate binary distributions.
K;limova, A., Uhler, C., Rudas, T. (2014) Faithfulness and learning of hypergraphs from discrete distributions.
Klimova, A., Rudas, T. (2013) Iterative Scaling in Curved Exponential Families,
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) A TÁRKI HÉV – 2007 kutatás súlyozása, in: Kolosi, T., Toth, I. Gy. (szerk) Újratervezés. Kutatási jelentés a Háztartások Életút vizsgálata alapján, Tárki, Budapest 205-219.
Hermann, D., Rudas, T. (2008) A halálozás okozta mintacsökkenés, in: Kolosi, T., Toth, I. Gy. (szerk) Újratervezés. Kutatási jelentés a Háztartások Életút vizsgálata alapján, Tárki, 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. http://www.ups-tlse.fr/PROJET\_QS/PAPERS/ Rudas2/Rudas2.html
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 potentia pitfalls. In: Collected papers on marginal models, precision of estimation and parameter orthogonality. WORC paper 00.08.04, 23-38, Tilburg University Press.
Szivós P., Rudas T., Tóth I. Gy. (1998) Mikroszimuláció. Tárki Tanulmányok 8.
Rudas, T. (1998) On conditional independence interpretation of log-linear models. in M. Huskova, J. A. Visek, P. Lachout (eds.) Proceedinggs of Prague Stochastics 98. Jednota Ceskych Matematik a Fyzik, Prague, Vol. 2, 493-496.
Rudas, T. (1998) Minimum mixture estimation and regression analysis. in B. Marx, H. Friedl (eds.) StatisticalModeling - Proceedings of the 13th International Conference, Luisana State University, 340-347.
Rudas, T. (1998) The mixture index of fit. in Ferligoj, A. (ed.) Advances in Methodology, Data Analysis, and Statistics, University of Ljubljana, 15-22.
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 likeliood 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.
Kóbor, Gy., Rudas, T. (1987) Diszkriminancia analízis kategoriális változókkal, programleírás. TÁRKI Információk, 5, 33-44.Budapest.
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 ComputationalStatistics, 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) A változók közötti kapcsolatok vizsgálata. in: Rejtõ (szerk) Többváltozós statisztikai módszerek, 174-225. Bolyai János matematikai Társulat, Budapest.
Rudas, T. (1984) Kontingencia táblák loglineáris elemzése. in: Rejtõ (szerk) Többváltozós statisztikai módszerek, II, 292-321. Bolyai János matematikai Társulat, Budapest.
Rudas, T. (1980) Regresszióelemzés az empirikus társadalomkutatásban. Tömegkommunikációs Kutatóközpont, Budapest.
Rudas, T. (1980) Cluster analízis a BMDP programcsomaggal. in: A BMDP programcsomag rövid leírása. MTA SZTAKI Working Paper, Budapest.
Tölgyesi, J., Rudas, T. (1980) A SIMULA programozési nyelv alkalmazása a társadalomtudományban.Tömegkommunikációs Kutatóközpont, Budapest.
Rudas, T. (1979) Véletlenített kérdõíves eljárások.Tömegkommunikációs Kutaóközpont, Budapest.
Rudas, T. (1979) Faktoranalízis az empirikus társadalomkutatásban. Tömegkommunikációs Kutatóközpont, Budapest.
KIVONATOK
Rudas, T., Klimova, A. (2015) Testing the fit of relational models to contingency tables. Book of Abstracts, 170-171 8th International Workshop on Simulation, Universitat fur Bodenkultur, Wien
Rudas, T. (2015) On the measurement of effects and interactions. Book of Abstracts, 8, 14th Congress of the Methodology of the Social Sciences, Universitat de Iles Bleares
Klimova, A., Rudas, T. (2013) Extended relational models. In Programme and Abstracts of 7th International Conference on Computational and Financial Econometrics (CFE 2013) and 6th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (ERCIM 2013) p.125. Senate House, University of London
Rudas, T., Klimova, A. (2013) Independence on non-product spaces. In Programme and Abstracts of 7th International Conference on Computational and Financial Econometrics (CFE 2013) and 6th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (ERCIM 2013) p.126. Senate House, University of London
Klimova, A., Rudas, T. (2013) Iterative scaling in curved exponential families. In Márkus, L. & Prokaj, V. (Eds), Abstracts of the 29-th European Meeting of Statisticians (EMS 2013) p.159, Budapest
Rudas, T., Klimova, A. (2013) Log-linear models on non-product spaces. In Márkus, L. & Prokaj, V. (Eds), Abstracts of the 29-th European Meeting of Statisticians (EMS 2013) p.258, Budapest
Németh, R., Rudas, T. (2013) On sociological applications of discrete marginal models. In Márkus, L. & Prokaj, V. (Eds), Abstracts of the 29-th European Meeting of Statisticians (EMS 2013) p.227, Budapest
Rudas, T, Nemeth, R. (2011) Marginal Models of Social Mobility. Book of Abstracts, Spring Methodology Conference, American Sociological Association, University of Tilburg.
Rudas, T. (2008) Intent-to-treat analysis of observational studies. Book of Abstracts, 65, 3rd European Congress of Methodology, University of Oviedo.
Rudas, T. (2008) How much do you want to avoid Simpson’s paradox? Book of Abstracts, 40, 7th International Conference on Social Science Methodology, Jovene Editore, Napoli.
Rudas, T., Bergsma, W., Nemeth, R. (2006) Parameterization and estimation of path models for categorical data. COMPSTAT 2006., 256, Rome
Rudas, T. (2003) Assessment of Model Fit Based on Incomplete Data. Joint Statistical Meetings, Abstracts, 405, SanFrancisco.
Rudas, T. (2002) Mixture models of missing data. International Conference on Methodology and Statistics. Abstracts, 81, Ljubljana.
Rudas, T., Bergsma, W. (2002) On applications of marginal models to categorical data. 23rd Biennial Conference of the Society for Multivariate Analysis in the Behavioral Sciences, Abstracts, 55-56, Tilburg.
Rudas, T., Bergsma, W. (2001) On the parameterization of graphical models describing the association structure among several variables. International Conference on Methodology and Statistics, Abstracts, 46, University of Ljubljana.
Bergsma, W., Rudas, T. (2001) A class of hierarchical models for categorical data. International Meeting of the Psychometric Society, Abstracts 231, Osaka.
Bergsma, W., Rudas, T. (2001) Characterization, existence and uniqueness of MLEs for marginal models for categorical data. 16th International Workshop on Statistical Modelling, Abstracts, Odense.
Rudas, T. (2000) The mixture approach to the analysis of surveys with missing data. Social Science Methodology in the New Millenium. Proceedings of the Fifth International Conference on Logic and Methodology, 332, University of Cologne.
Rudas, T., Bergsma, W. (2000) On relationships between graphical and marginal modeling. Social Science Methodology in the New Millenium. Proceedings of the Fifth International Conference on Logic and Methodology, 308, University of Cologne.
Verdes, E., Rudas, T. (2000) The pi star index as an alternative for assessing goodness-of-fit of logistic regression. Social Science Methodology in the New Millenium. Proceedings of the Fifith International Conference on Logic and Methodology, 240-241, University of Cologne.
Bergsma, W., Rudas, T. (2000) On applications of marginal modeling. Social Science Methodology in the New Millenium. Proceedings of the Fifith International Conference on Logic and Methodology, 418, University of Cologne.
Rudas, T. (1999) Conditional independence and conditional no-highest order association. Workshop on Conditional Independence Structures and Graphical Models. Abstracts, 42-43, Fields Institute, University of Toronto.
Bergsma, W., Rudas, T. (1999) On marginal log-linear models. International Conference on Applied Statistics, Preddvor. Abstracts 17, University of Ljubljana.
Rudas, T. (1998) On conditional independence interpretation of log-linear models. Workshop on Structural Learning in Graphical Models, Abstracts. European Science Foundation and University of Pavia.
Rudas, T. (1998) A general framework for the analysis of surveys. 21st BiennialConference of the Society for Multivariate Analysis in theBehavioural Sciences,Abstracts, University of Leuwen.
Rudas, T. (1997) The symmetric mixture index of fit for L-1 regression. Third International Conference on Statistical Data Analysis Based on the L-1 Norm and Related Methods. University of Neuchatel, Abstracts of Contributed Papers.
Rudas, T. (1997) The mixture index of fit for L-1 regression. International Conferenceon Applied Statistics, Predvvor, Abstracts, 35, University of Ljubljana.
Rudas, T. (1996) Maximum likelihood estimation in intersections of models. First European Conference on Highly Structured Stochastic Models, European Science Foundation, Rebild, Book of Abstracts, 145-146.
Rudas, T. (1995) The mixture approach to assessing the fit of a statistical model. Conference in Honor of Herbert A. David's 70th Birthday, Iowa State University, Abstracts.
Rudas, T. (1995) The mixture approach to assessing the fit of a statistical model. International Conference on Statistical Theory and Application, University of Ljubljana, Preddvor, 32.
Clogg, C. C., Matthews, S., Rudas, T. (1995) Analysis of model misfit, structure and local structure in contingency tables using latent class concepts and graphical displays. Conference on Visualization of Categorical Data, Koln, Volume of Abstracts, 7.
Clogg, C. C., Rudas, T. (1994) A new index of structure in mobility tables and related kinds of cross classification, including a general fit index for contingency table models. Sociological Abstracts, July 1994, 59.
Rudas, T. (1992) New modules in DISTAN 2.0. Proceedings of the International Conference on Social Science Methodology, University of Trento and ISA RC33.
Rudas, T. (1991) Intersections of linear and multiplicative models. 7th European Meeting of the Psychometric Society, Trier, Abstracts, 122.
Rudas, T. (1990) Tests of hypotheses for categorical data with misclassification. Proceedings of the 15th International Biometric Conference, Budapest, 223.
Rudas, T. (1990) DISTAN for DIscrete STatistical ANalaysis, COMPSTAT 1990, Software Catalogue, 3-4, Dubrovnik.
Rudas, T. (1989) DISTAN for discrete statistical analysis. in: 5. Konferenz uber die wissenschaftliche Anwendung von Statistik-Software, Heidelberg, Abstracts 90, ZUMA, Mannheim.
Rudas, T. (1989) Extension of measures: some statistical applications. Bull. of the Int. Statist. Inst., 47th Session, Paris, Contributed papers, Book 2, 276-277.
Rudas, T. (1988) Statistical models with conditionally independent sufficient statistics. in: 18th Eurpoean Meeting of Statisticians, Abstracts, 216, Berlin
Rudas, T. (1988) Prescribed conditional interaction structure models with application to the analysis of mobility tables. in: International Conference on Social Science Methodology, Abstracts 85-86, Dubrovnik.
Rudas, T. (1987) On structural models for multivariate data. in: 17th European Meeting of Statisticians, Abstracts, 197, Thessaloniki.
Rudas, T. (1987) Multivariate normal distributions with prescribed covariance structure.in: Satellite Conference of the 17th E.M.S., Abstracts, 48, Thessaloniki.
Rudas, T. (1986) Prescribed conditional and partial interaction models forbinary contingency tables. in: Abstracts of the papers presented at the Conference on Graphical Models, Wiesbaden, University of Mainz.
Rudas, T. (1986) Prescribed conditional interaction models for contingency tables. in: World Congress of the Bernoulli Society, Abstracts, 208, Tashkent.
Rudas, T. (1985) Exploratory methods for categorical data problems. in: 45th Session of the International Statistical Institute, Volume of Contributed papers, 107-108, Amsterdam.