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Results: 75
Number of items: 75
  • van den Heuvel, E. R., & Klaassen, C. A. J. (1997). Spread, estimators and nuisance parameters. Bernoulli, 3, 323-328.
  • Klaassen, C. A. J., & Wellner, J. A. (1997). Efficient estimation in the bivariate copula model: normal margins are least favorable. Bernoulli, 3, 55-77. https://doi.org/10.2307/3318652
  • Drost, F. C., & Klaassen, C. A. J. (1997). Efficient estimation in semiparametric GARCH models. Journal of Econometrics, 81, 193-221. https://doi.org/10.1016/S0304-4076(97)00042-0
  • Open Access
    Drost, F. C., Klaassen, C. A. J., & Werker, B. J. M. (1997). Adaptive estimation in time series models. The Annals of Statistics, 25, 786-817.
  • van den Heuvel, E. R. (1996). Bounds for Statistical Estimation in Semiparametric Models. [Thesis, fully internal, Universiteit van Amsterdam].
  • Klaassen, C. A. J. (1996). A bonus-malus system in statistical sampling for testing jewelry on fineness. In R. C. Kaltenbach, & P. Blumberg (Eds.), Precious Metal Sampling and Analysis (pp. 3-9). International Precious Metals Institute.
  • Klaassen, C. A. J. (1996). Bonus-Malus in acceptance Sampling on Attributes. (Technical Report IBIS-UvA). Unknown Publisher.
  • Drost, F. C., & Klaassen, C. A. J. (1996). Efficient estimation in semiparametric Garch models. (Technical Report; No. 9638). CentER for Economic Research.
  • Klaassen, C. A. J. (1995). Finite sample optimality of extremes and mid-range. Kybernetika, 31(3), 297-302.
  • Klaassen, C. A. J. (1995). Statistical analyses of some sampling plans for testing jewellery on fineness. (Technical Report CEN/TC; No. 283/WG1N29). Comite Europeen de Normalisation.
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