Alicja Jokiel-Rokita - Selected Publications and Statistical Textbooks

  1. A. Jokiel-Rokita, P. Skolinski, Maximum likelihood estimation for an inhomogeneous gamma process with a log-linear rate function. Journal of Statistical Theory and Practice, DOI:10.1007/s42519-021-00212-0 (2021).
  2. A. Jokiel-Rokita, R. Topolnicki, Minimum distance estimation of the Lehmann receiver operating characteristic curve. Statistics, DOI:10.1080/02331888.2021.1960528 (2021).
  3. A. Jokiel-Rokita, R. Topolnicki, Estimation of the ROC curve from the Lehmann family. Computational Statistics and Data Analysis, 145, 106820 (2020).
  4. A. Jokiel-Rokita, A. Siedlaczek, Quantile estimation via distribution fitting. Applicationes Mathematicae, 46, 283–301. DOI: 10.4064/am2384-3-2019 (2019).
  5. A. Jokiel-Rokita, R. Topolnicki, Minimum distance estimation of the binormal ROC. Statistical Papers, 60, 2161-2183, DOI 10.1007/s00362-017-0915-7 (2019).
  6. A. Jokiel-Rokita, R. Magiera, Estimation and Prediction for the Modulated Power Law Process. In: Corazza M., Durbán M., Grané A., Perna C., Sibillo M. (eds) Mathematical and Statistical Methods for Actuarial Sciences and Finance. Springer, Cham (2018).
  7. A. Jokiel-Rokita, Explicit solutions of the Bayes sequential estimation problem for a time transformed exponential distribution. Sequential Analysis. Design Methods and Applications, 37(1), 102-114 (2018).
  8. A. Jokiel-Rokita, R. Topolnicki, Estimation of the ratio of a geometric process. Applicationes Mathematicae, 44(1), 105-121 (2017).
  9. A. Jokiel-Rokita, R. Magiera, On the existence of maximum likelihood estimates in modulated gamma process. International Journal of Economics and Statistics, 4, 203-209 (2016).
  10. A. Jokiel-Rokita, D. Lazar, R. Magiera, Bayesian prediction in doubly stochastic Poisson process. Metrika, 77, 1023-1039 (2014).
  11. A. Jokiel-Rokita, R. Magiera, Distributions of stopping times in some sequential estimation procedures. Metrika, 77, 617-634 (2014).
  12. J. Franz, A. Jokiel-Rokita, R. Magiera, Prediction in trend-renewal processes for repairable systems. Statistics and Computing, 24, 633-649 (2014).
  13. A. Jokiel-Rokita, M. Pulit, Nonparametric estimation of the ROC curve based on smoothed empirical distribution functions. Statistics and Computing, 23, 703-712 (2013).
  14. A. Jokiel-Rokita, A. Giniewicz, Burn-in for a time-transformed exponential model. Metrika, 76, 265-285 (2013).
  15. A. Jokiel-Rokita, Bayes sequential estimation for a time-transformed exponential model. Statistics, 46(1), 123-129 (2012).
  16. A. Jokiel-Rokita, R. Magiera, Estimation of parameters for trend-renewal processes. Statistics and Computing 22, 625-637 (2012).
  17. A. Jokiel-Rokita, Bayes sequential estimation for a particular exponential family of distributions under LINEX loss. Metrika 74(2), 211-219 (2011).
  18. A. Jokiel-Rokita, R. Magiera, Minimum risk invariant estimators of a continuous cumulative distribution function. Communications in Statistics - Theory and Methods 39(18), 3332-3342 (2010).
  19. A. Jokiel-Rokita, R. Magiera, Estimation procedures with delayed observations. Journal of Statistical Planning and Inference 140, 992-1002 (2010).
  20. A. Jokiel-Rokita, R. Magiera, Minimax prediction of the empirical distribution function. Communications in Statistics 38, 1776-1791 (2009).
  21. A. Jokiel-Rokita, A. Stepien, Sequential estimation of a location parameter from delayed observations. Statistical Papers 50, 363--372 (2009).
  22. A. Jokiel-Rokita, A sequential estimation procedure for the parameter of an exponential distribution under asymmetric loss function. Statistics & Probability Letters 78, 3091-3095 (2008).
  23. A. Jokiel-Rokita, Asymptotically pointwise optimal and asymptotically optimal stopping times in the Bayesian inference. Statistical Papers 49(2), 165--175 (2008).
  24. A. Jokiel-Rokita, R. Magiera, Minimax estimation of a probability of success under LINEX loss. Statistics and Computing 17, 281--291 (2007).
  25. A. Jokiel-Rokita, R. Magiera, Minimax estimation of a cumulative distribution function by converting to a parametric problem. Metrika 66(1), 61-73 (2007).
  26. A. Jokiel-Rokita, The Bayes sequential estimation of a normal mean from delayed observations. Applicationes Mathematicae, 33(3-4) 275-282 (2006).
  27. A. Jokiel-Rokita, Γ-minimax prediction for the multinomial distribution. Metrika 64, 259-269 (2006).
  28. A. Jokiel-Rokita, R. Magiera, Γ-minimax estimation with delayed observations from the multinomial distribution. Statistics, 38(3), 195-206 (2004).
  29. A. Jokiel-Rokita, Minimax prediction under random sample size. Applicationes Mathematicae, 29(2), 127-134 (2002).
  30. A. Jokiel-Rokita, R. Magiera, The Bayes choice of an experiment in estimating a success probability. Applicationes Mathematicae, 29(2), 135-144 (2002).
  31. A. Jokiel-Rokita, Systematic minimax prediction for the multinomial distribution. In Nikulin, M. and Limnios, N., editors, Second International Conference on Mathematical Methods in Reliability. 2, 575-578 (2000), Bordeaux, France.
  32. A. Jokiel-Rokita, Minimax prediction for the multinomial and the multivariate hypergeometric distribution with random sample size. Sci. Rep. - Univ. Appl. Sci. Mitweida, 67-70 (1999).
  33. A. Jokiel-Rokita, R. Magiera, Estimation with delayed observations for the multinomial distribution. Statistics 32, 353-367 (1999).
  34. A. Jokiel-Rokita, Minimax prediction for the multinomial and the multivariate hypergeometric distributions. Applicationes Mathematicae, 25(3), 271-283 (1998).

    S t a t i s t i c a l   t e x t b o o k s

    5. A. Jokiel-Rokita, R. Magiera, Modele i metody statystyki matematycznej w zadaniach. Oficyna Wyd. GiS, Wroc³aw (2018). Wydanie IV rozszerzone.
    4. A. Jokiel-Rokita, R. Magiera, Selected Stochastic Models in Reliability. Politechnika Wroc³awska, Wroc³aw (2011).
    3. A. Jokiel-Rokita, R. Magiera, Modele i metody statystyki matematycznej w zadaniach. Oficyna Wyd. GiS, Wroc³aw (2005). Wydanie III rozszerzone (s. 292+xix).
    2. A. Jokiel-Rokita, R. Magiera, Modele i metody statystyki matematycznej w zadaniach. Oficyna Wyd. GiS, Wroc³aw (2003). Wydanie II rozszerzone (s. 200+x).
    1. A. Jokiel-Rokita, R. Magiera, Modele i metody statystyki matematycznej w zadaniach. Oficyna Wyd. GiS, Wroc³aw (2001) (s. 134).


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