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Publications - Tomáš Hobza


Books and chapters (1)
1. * Tomáš Hobza, D. Morales: Small Area Estimation of Poverty Proportions under Random Regression Coefficient Models. Modern Mathematical Tools and Techniques in Capturing Complexity, 315-328. Springer, Berlin 2011.   Download

Journal articles (10)
1. * Tomáš Hobza, D. Morales, M. Herrador, M.D. Esteban: A Fay-Herriot Model with Different Random Effect Variances. Communications in Statistics - Theory and Methods 40:5 (2011), 785-797. Taylor & Francis.   Download
2. * Tomáš Hobza, L. Pardo, D. Morales: Rényi statistics for testing equality of autocorrelation coefficients. Statistical Methodology 6:4 (2009), 424-436. Elsevier.   Download
3. * Tomáš Hobza, I. Molina, D. Morales: Multi-sample Rényi test statistics. Brazilian Journal of Probability and Statistics 23:2 (2009), 196-215.   Download
4. * Tomáš Hobza, M. D. Esteban, D. Morales, Y. Marhuenda: Divergence-based tests for model diagnostic. Statistics & Probability Letters 78:13 (2008), 1702-1710. Elsevier.   Download
5. * T. Hobza, L. Pardo, Igor Vajda: Robust median estimator in logisitc regression. Journal of Statistical Planning and Inference 138:12 (2008), 3822-3840. Elsevier.   Download
6. * Tomáš Hobza, I. Molina, Igor Vajda: On convergence of Fisher informations in continuous models with quantized observations. Test 14:1 (2005), 151-179.
7. * Tomáš Hobza, I. Molina, D. Morales: Likelihood divergence statistics for testing hypotheses in familial data. Communications in Statistics - Theory and Methods 32:2 (2003), 415-434. Taylor & Francis.
8. * A. Berlinet, Tomáš Hobza, Igor Vajda: Asymptotics for generalized piecewise linear histograms. Publications de l'Institut de Statistique de l'Universite de Paris 34:3 (2002), 3-19.
9. * A. Berlinet, Tomáš Hobza, Igor Vajda: Generalized piecewise linear histograms. Statistica Neerlandica 56:3 (2002), 301-313.
10. * T. Hobza, Igor Vajda: On the Newcomb-Benford law in models of statistical data. Revista Mathématica Complutense 14:2 (2001), 1-13. Springer.

Conference papers (3)
1. * M. D. Esteban, Tomáš Hobza, Y. Marhuenda, D. Morales: Estadísticos basados en divergencias para el diagnóstico de modelos. Contribuciones a la Estadística y a la Investigación Operativa, 533-541. SEIO, Tenerife 2006.
2. * Tomáš Hobza, L. Pardo: On Robustness of Median Estimator in Bernoulli Logistic Regession. Prague Stochastics 2006, 396-406. MATFYZPRESS, Praha 2006.
3. * Tomáš Hobza: Asymptotics of f-divergence errors of some histogram-based density estimates. SFdS XXXVIémes Journées de Statistique, 1-6. Université Montpellier, Montpellier 2004.

Other publications (13)
1. * M. D. Esteban, Tomáš Hobza, Y. Marhuenda, D. Morales: Estadísticos basados en divergencias para el diagnóstico de modelos. Trabajos I+D I-2007-22. Centro de Investigación Operativa, Elche 2007.
2. * Tomáš Hobza, D. Morales, L. Pardo: Testing equality of autocorrelation coefficients in multivariate normal models. Trabajos I+D 15. Universidad Miguel Hernández de Elche, Elche 2007.
3. * Tomáš Hobza, Igor Vajda, E. C. van der Meulen: Consistent estimation and testing by means of disparity statistics based on m-spacings. Interní publikace - DAR - ÚTIA 2006/15. ÚTIA AV ČR, Praha 2006.
4. * Tomáš Hobza, L. Pardo, Igor Vajda: Robust Median Estimator in Logistic Regression. Interní publikace - DAR - ÚTIA 2006/31. ÚTIA AV ČR, Praha 2006.
5. * M. D. Esteban, Tomáš Hobza, D. Morales, Y. Marhuenda: Divergence-Based Tests for Model Diagnostic. Interní publikace - DAR - ÚTIA 2005/32. ÚTIA AV ČR, Praha 2005.
6. * Tomáš Hobza: On the Consistency in Divergence for a Class of Nonparametric Distribution Estimates. Interní publikace - DAR - ÚTIA 2005/23. ÚTIA AV ČR, Praha 2005.
7. * T. Hobza, L. Pardo, Igor Vajda: Robust Median Estimators in General Logistic Regression. Interní publikace - DAR - ÚTIA 2005/40. ÚTIA AV ČR, Praha 2005.
9. * Tomáš Hobza, L. Pardo, Igor Vajda: Median Estimators of Parameters of Logistic Regression in Models with Discrete or Continuous Responses. Research Report 2124. ÚTIA AV ČR, Praha 2004.
10. * Tomáš Hobza: On asymptotics for phi-divergence errors of some nonparametric density estimates. Abstract. Abstracts of the 24th European Meeting of Statisticians & 14th Prague Conference on Information Theory, Statistical Decision Functions and Random Processes, 418. Institute of Information Theory and Automation, Prague 2002.
11. * Tomáš Hobza, Igor Vajda, Karel Vrbenský: Estimation of Distribution in Telecommunication Networks and its Optimization. Research Report 2001. ÚTIA AV ČR, Praha 2000.
12. * T. Hobza, V. Kůs, Igor Vajda, E. C. van der Meulen, K. Vrbenský: Optimal Partitions and Dominating Distributions for Barron Density Estimates. Research Report 1928. ÚTIA AV ČR, Praha 1998.
13. * A. Berlinet, T. Hobza, Igor Vajda: Analysis of Some New Histogram Based Estimators. Research Report 98-09. Université Montpellier, Montpellier 1998.