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Bibliografie

IAA1075101

  1. Hobza Tomáš, Molina I., Vajda Igor :  On convergence of Fisher informations in continuous models with quantized observations , Test vol.14, 1 (2005), p. 151-179 [2005]
  2. Liese F., Vajda Igor :  A general asymptotic theory of M-estimators II , Mathematical Methods of Statistics vol.13, 1 (2004), p. 82-95 [2004]
  3. Morales D., Pardo L., Vajda Igor :  Asymptotic laws for disparity statistics in product multinomial models , Journal of Multivariate Analysis vol.85, 3 (2003), p. 335-360 [2003]
  4. Liese F., Vajda Igor :  On square root of n-consistency and asymptotic normality of consistent estimators in models with independent observations , Rostocker Mathematisches Kolloquium vol.57, 3 (2003), p. 3-51 [2003]
  5. Mayoral A. M., Morales D., Morales J., Vajda Igor :  On efficiency of estimation and testing with data quantized to fixed number of cells , Metrika vol.57, 1 (2003), p. 1-27 [2003]
  6. Fabián Zdeněk, Vajda Igor :  Core Functions and Core Divergences of Regular Distributions , Kybernetika vol.39, 1 (2003), p. 29-42 [2003] Download
  7. Liese F., Vajda Igor :  A general asymptotic theory of M-estimators I , Mathematical Methods of Statistics vol.12, 4 (2003), p. 454-477 [2003]
  8. Vajda Igor, Gyorfi L. :  Asymptotic distribution for goodness-of-fit statistics in a sequence of multinomial models , Statistics & Probability Letters vol.56, 1 (2002), p. 57-67 [2002]
  9. Menéndez M. L., Pardo L., Vajda Igor :  Minimum disparity estimators for discrete and continuous models , Applications of Mathematics vol.46, 6 (2001), p. 439-466 [2001]

  1. Liese F., Vajda Igor :  On Consistency and Asymptotic Normality of Consistent Estimators in Models with Independent Observations, ÚTIA AV ČR, (Praha 2002) Research Report 2042 [2002]
  2. Vajda Igor, van der Meulen E. C. :  On minimum divergence adaptation of bivariate distributions to given marginals. Abstract , Abstracts of the 24th European Meeting of Statisticians & 14th Prague Conference on Information Theory, Statistical Decision Functions and Random Processes, p. 344 , Eds: Janžura M., Mikosch T., Institute of Information Theory and Automation, (Prague 2002) , EMS 2002, (Prague, CZ, 19.08.2002-23.08.2002) [2002]
  3. Fabián Zdeněk, Vajda Igor :  Core Functions and Core Divergences of Regular Distributions, ICS AS CR, (Prague 2002) Research Report V-863 [2002]
  4. Liese F., Vajda Igor :  First Order Theory of M-estimators in General Models with Independent Observations, ÚTIA AV ČR, (Praha 2001) Research Report 2017 [2001]