Ryszard Magiera - Selected Publications and Statistical Textbooks
  1. 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).
  2. 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).
  3. M. Chrzanowski, R. Magiera , Consistency of nonparametric estimators of the area under the ROC curve. Communications in Statistics –- Theory and Methods, (2014)
  4. A. Jokiel-Rokita, D. Lazar, R. Magiera , Bayesian prediction in doubly stochastic Poisson process. Metrika, (2014), DOI 10.1007/s00184-014-0484-x.
  5. A. Jokiel-Rokita, R. Magiera , Distributions of stopping times in some sequential estimation procedures. Metrika, (2014), DOI 10.1007/s00184-013-0456-6.
  6. J. Franz, A. Jokiel-Rokita, R. Magiera , Prediction in trend-renewal processes for repairable systems. Statistics and Computing 24 (4), 633--649 (2014), DOI 10.1007/s11222-013-9393-5.
  7. A. Jokiel-Rokita, R. Magiera , Estimation of parameters for trend-renewal processes. Statistics and Computing 22, 625--637 (2012).
  8. 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).
  9. A. Jokiel-Rokita, R. Magiera , Estimation procedures with delayed observations. Journal of Statistical Planning and Inference 140, 992--1002 (2010).
  10. J. Baran, R. Magiera, Optimal sequential estimation procedures of a function of a probability of success under LINEX loss. Statistical Papers 51, 511--529 (2010).
  11. A. Jokiel-Rokita, R. Magiera , Minimax prediction of the empirical distribution function. Communications in Statistics -- Theory and Methods 38(11), 1776--1791 (2009).
  12. A. Jokiel-Rokita, R. Magiera, On invariant estimation of a continuous cumulative distribution function. International Workshop on Applied Probability (IWAP), Compi\`{e}gne, France (2008).
  13. A. Jokiel-Rokita, R. Magiera, Estimation procedures in the case of randomly forthcoming data. Proceedings ASA, 1314-1321 (2007).
  14. A. Jokiel-Rokita, R. Magiera, Minimax estimation of a probability of success under LINEX loss. Statistics and Computing 17, 281-291 (2007).
  15. A. Jokiel-Rokita, R. Magiera, Minimax estimation of a cumulative distribution function by converting to a parametric problem. Metrika 66(1), 61-73 (2007).
  16. A. Jokiel-Rokita, R. Magiera , Γ-minimax estimation with delayed observations from the multinomial distribution. Statistics 38(3), 195-206 (2004).
  17. A. Jokiel-Rokita, R. Magiera, The Bayes choice of an experiment in estimating a success probability. Appl. Math. 29(2),135-144 (2002).
  18. R. Magiera, Γ-minimax sequential estimation for Markov-additive processes, Appl. Math. 28(4), 467-485 (2001).
  19. J. Franz, R. Magiera, Parameter estimation for switched counting processes, Statistics 35, 371-393 (2001).
  20. R. Magiera, M. Wilczynski, Natural and modified conjugate priors in exponential families of stochastic processes, Probab. Math. Stat., Vol. 21, No. 2, 303-319 (2001).
  21. R. Magiera, On a class of minimax sequential estimation procedures for a marked counting process, Second International Conference on Mathematical Methods in Reliability. Bordeaux, France. Eds M. Nikulin, N. Limnios. Vol. 2, 735-738 (2000).
  22. R. Magiera, Minimax sequential procedures for Markov-additive processes, Stochastic Models, Vol. 15, No. 5, 871-888 (1999).
  23. R. Magiera, On Γ-minimax sequential estimation for stochastic processes, Sci. Rep. - Univ. Appl. Sci. Mittweida, 33-36 (1999).
  24. A. Jokiel-Rokita, R. Magiera, Estimation with delayed observations for the multinomial distribution, Statistics 32, 353-367 (1999).
  25. R. Magiera, Optimal Sequential Estimation for Markov-Additive Processes, In W. Kahle and others, editors, Advances in Stochastic Models for Reliability, Quality and Safety, 12, 167-181. Birkhäuser Verlag, Boston (1998).
  26. R. Magiera, Optimal Sequential Estimation Procedures Under Delayed Observations from Multiparameter Exponential Families, In P. Kischka, et al., editors, Operations Research Proceedings 1997. Selected Papers of the Symposium on Operations Research (SOR '97), 200-205, Berlin Heidelberg New York. Friedrich-Schiller-Universität Jena, Springer-Verlag. (1998).
  27. J. Franz, R. Magiera, Sequential estimation for a family of counting processes in the nuisance parameter case, Statistical Papers 39, 147-162 (1998).
  28. R. Magiera, On minimax sequential procedures for exponential families of stochastic processes, Appl. Math. 25(1), 1-18 (1998).
  29. J. Franz, R. Magiera, On information inequalities in sequential estimation for stochastic processes, Mathematical Methods of Operations Research, 46(1), 1-27 (1997).
  30. R. Magiera, Minimax sequential procedures for Markov renewal processes, In U. Zimmermann, et al., editors, Operations Research Proceedings 1996. Selected Papers of the Symposium on Operations Research (SOR '96), 337-342, Berlin Heidelberg New York. Technische Universität Braunschweig, Springer-Verlag (1997).
  31. R. Magiera, On a class of sequential estimation problems for one-parameter exponential families, Sankhya 58, Series A, Pt.1:160-170 (1996).
  32. R. Magiera, Minimax sequential procedures for stochastic processes, In P. Kleinschmidt, etal., editors, Operations Research Proceedings 1995. Selected Papers of the Symposium on Operations Research (SOR '95), 217-222, Berlin Heidelberg New York. University of Passau, Springer-Verlag (1996).
  33. R. Magiera, Bayes sequential estimation procedures in exponential-type processes for a polynomial cost function, Statistics 26, 61-73 (1995).
  34. R. Magiera, Sequential estimation through estimating equations, In A. Bachem, et al., editors, Operations Research '93, 335-338, Heidelberg. University of Cologne, Physica-Verlag (1995).
  35. R. Magiera, Conjugate priors for exponential-type processes with random initial conditions, Appl. Math. 22(3), 321-330 (1994).
  36. R. Magiera, Bayes sequential estimation procedures for exponential-type processes, Appl. Math. 22(3), 311-320 (1994).
  37. R. Magiera, Bayes sequential estimation procedures, In A. Karmann et al., editors, Operations Research '92, 372-374, Heidelberg, New York. Universität der Bundeswehr Hamburg, Physica-Verlag, Springer-Verlag (1993).
  38. R. Magiera, Bayes sequential estimation for an exponential family of processes: a discrete time approach, Metrika 39, 1-20 (1992).
  39. R. Magiera, M. Wilczynski, Conjugate priors for exponential-type processes, Stat. Probab. Letters 12, 379-384 (1991).
  40. R. Magiera, Admissible sequential estimators of ratios between two linear combinations of parameters of exponential-type processes, Statistics and Decisions 9, 107-118 (1991).
  41. J. Franz, R. Magiera, Admissible estimators in sequential plans for exponential-type processes , Scand. J. Statist. 17, 275-285 (1990).
  42. R. Magiera, Admissibility of polynomial estimators in sequential estimation for exponential-type processes , Sankhya, Ser. A52, 178-191 (1990).
  43. R. Magiera, Minimax sequential estimation plans for exponential-type processes , Stat. Probab. Letters 9, 179-185 (1990).
  44. R. Magiera, V.T. Stefanov, Sequential estimation in exponential-type processes under random initial conditions, Sequential Anal. 70, 8(2), 147-167 (1989).
  45. R. Magiera, Sequential estimation for the generalized exponential hyperbolic secant process, Statistics, 19(2), 271-281 (1988).
  46. R. Magiera, Admissible sequential polynomial estimators for stochastic processes, Sequential Anal. 6(3), 207-218 (1987).
  47. R. Magiera, R. Rozanski, The characterization of efficient sequential plans for the Ornstein-Uhlenbeck velocity process, In R. Zielinski, editor, Sequential Methods in Statistics 381-392, Warsaw. Banach Center Publ., Vol. 16. PWN (1985).
  48. R. Magiera, R. Rozanski, A modification of Sudakov's lemma and efficient sequential plans for some jump Markov processes, In R. Zielinski, editor, Sequential Methods in Statistics 367-379, Warsaw. Banach Center Publ., Vol. 16. PWN (1985).
  49. R. Magiera, Sequential estimation for the spectral density parameter of a stationary Gaussian process , Probab. Math. Statist. 4, 33-45 (1984).
  50. R. Magiera, Sequential estimation of the transition intensities in Markov processes with migration, Appl. Math. 18, 241-250 (1984).
  51. R. Magiera, Estimation with delayed observations , Appl. Math. 17, 249-258 (1982).
  52. R. Magiera, Estimation problem for the exponential class of distributions from delayed observations, In Mathematical Statistics and Probability Theory (Proc. Sixth Internat. Conf., Wisla (Poland), 1978). Lecture Notes in Statistics 2, 275-287, New York. Springer-Verlag (1980).
  53. J. Franz, R. Magiera, On sequential plans for the exponential class of processes, Appl. Math. 16, 153-165 (1978).
  54. R. Magiera, On sequential minimax estimation for the exponential class of processes, Appl. Math. 15, 445-454 (1977).
  55. R. Magiera, S. Trybuła, Plany ukosne dla procesu dwumianowego , Mat. Stos. 6 41-47 (1976).
  56. R. Magiera, Sequential plans for the negative binomial process, Prace Nauk. Inst. Mat. PWr. No. 11. Ser. Stud. Materialy No.10. Problemy rachunku prawdopodobieństwa, 3-16 (1975).
  57. R. Magiera, On the inequality of Cramér-Rao type in sequential estimation theory, Appl. Math. 14, 227-235 (1974).

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





    12. R. Magiera, Statystyczne funkcje decyzyjne. Oficyna Wyd. GiS, Wrocław (2018), wydanie II rozszerzone (s. 232+xvi).
    11. R. Magiera, Modele i metody statystyki matematycznej. Część I. Rozkłady i symulacja stochastyczna. Oficyna Wyd. GiS, Wrocław (2018). Wydanie III rozszerzone (s. 247+xxii).
    10. R. Magiera, Modele i metody statystyki matematycznej. Część II. Wnioskowanie statystyczne. Oficyna Wyd. GiS, Wrocław (2018). Wydanie III rozszerzone.
    9. A. Jokiel-Rokita, R. Magiera, Modele i metody statystyki matematycznej w zadaniach. Oficyna Wyd. GiS, Wrocław (2018). Wydanie IV rozszerzone.
    8. R. Magiera, Statystyczne funkcje decyzyjne. Oficyna Wyd. GiS, Wrocław (2016).
    7. A. Jokiel-Rokita, R. Magiera, Selected Stochastic Models in Reliability. Politechnika Wrocławska, Wrocław (2011).
    6. R. Magiera, Modele i metody statystyki matematycznej. Część II. Wnioskowanie statystyczne. Oficyna Wyd. GiS, Wrocław (2007). Wydanie II rozszerzone (s. 496+xxi).
    5. R. Magiera, Modele i metody statystyki matematycznej. Część I. Rozkłady i symulacja stochastyczna. Oficyna Wyd. GiS, Wrocław (2005). Wydanie II rozszerzone (s. 240+xxi).
    4. A. Jokiel-Rokita, R. Magiera, Modele i metody statystyki matematycznej w zadaniach. Oficyna Wyd. GiS, Wrocław (2005). Wydanie III rozszerzone (s. 292+xix).
    3. A. Jokiel-Rokita, R. Magiera, Modele i metody statystyki matematycznej w zadaniach. Oficyna Wyd. GiS, Wrocław (2003). Wydanie II rozszerzone (s. 200+x).
    2. R. Magiera, Modele i metody statystyki matematycznej. Oficyna Wyd. GiS, Wrocław (2002) (s. 398).
    1. A. Jokiel-Rokita, R. Magiera, Modele i metody statystyki matematycznej w zadaniach. Oficyna Wyd. GiS, Wrocław (2001) (s. 134).


    www@im.pwr.wroc.pl.