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Milan Stehlik

Personal Details

First Name:Milan
Middle Name:
Last Name:Stehlík
Suffix:
RePEc Short-ID:pst263
[This author has chosen not to make the email address public]
http://www.ifas.jku.at/e2571/e2706/index_ger.html
Institut fuer angewandte Statistik, Johannes Kepler University in Linz, Freistaedter Strasse 315, 2. Stock, A-4040 Linz a. D., Austria,
+43 732 2468 5881

Affiliation

Institut für Angewandte Statistik
Johannes-Kepler-Universität Linz

Linz, Austria
http://www.ifas.jku.at/
RePEc:edi:isjkuat (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Milan Stehlík & Rastislav Potocký & Helmut Waldl & Zdeněk Fabián, 2010. "On the favorable estimation for fitting heavy tailed data," Computational Statistics, Springer, vol. 25(3), pages 485-503, September.
  2. Milan Stehlík & Juan Rodríguez-Díaz & Werner Müller & Jesús López-Fidalgo, 2008. "Optimal allocation of bioassays in the case of parametrized covariance functions: an application to Lung’s retention of radioactive particles," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 17(1), pages 56-68, May.
  3. Kiselák, Jozef & Stehlík, Milan, 2008. "Equidistant and D-optimal designs for parameters of Ornstein-Uhlenbeck process," Statistics & Probability Letters, Elsevier, vol. 78(12), pages 1388-1396, September.
  4. Stehlík, Milan, 2006. "Exact likelihood ratio scale and homogeneity testing of some loss processes," Statistics & Probability Letters, Elsevier, vol. 76(1), pages 19-26, January.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Milan Stehlík & Rastislav Potocký & Helmut Waldl & Zdeněk Fabián, 2010. "On the favorable estimation for fitting heavy tailed data," Computational Statistics, Springer, vol. 25(3), pages 485-503, September.

    Cited by:

    1. Helton Saulo & Alan Dasilva & Víctor Leiva & Luis Sánchez & Hanns de la Fuente‐Mella, 2022. "Log‐symmetric quantile regression models," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 76(2), pages 124-163, May.
    2. Vygantas Paulauskas & Marijus Vaičiulis, 2017. "A class of new tail index estimators," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 69(2), pages 461-487, April.
    3. H. M. Barakat & E. M. Nigm & O. M. Khaled & H. A. Alaswed, 2018. "The estimations under power normalization for the tail index, with comparison," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 102(3), pages 431-454, July.

  2. Milan Stehlík & Juan Rodríguez-Díaz & Werner Müller & Jesús López-Fidalgo, 2008. "Optimal allocation of bioassays in the case of parametrized covariance functions: an application to Lung’s retention of radioactive particles," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 17(1), pages 56-68, May.

    Cited by:

    1. Santiago Campos-Barreiro & Jesús López-Fidalgo, 2015. "D-optimal experimental designs for a growth model applied to a Holstein-Friesian dairy farm," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(3), pages 491-505, September.

  3. Kiselák, Jozef & Stehlík, Milan, 2008. "Equidistant and D-optimal designs for parameters of Ornstein-Uhlenbeck process," Statistics & Probability Letters, Elsevier, vol. 78(12), pages 1388-1396, September.

    Cited by:

    1. Baran, S. & Stehlík, M., 2015. "Optimal designs for parameters of shifted Ornstein–Uhlenbeck sheets measured on monotonic sets," Statistics & Probability Letters, Elsevier, vol. 99(C), pages 114-124.
    2. Dette, Holger & Pepelyshev, Andrey & Zhigljavsky, Anatoly, 2014. "‘Nearly’ universally optimal designs for models with correlated observations," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 1103-1112.
    3. Boukouvalas, A. & Cornford, D. & Stehlík, M., 2014. "Optimal design for correlated processes with input-dependent noise," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 1088-1102.
    4. Dette, Holger & Schorning, Kirsten & Konstantinou, Maria, 2017. "Optimal designs for comparing regression models with correlated observations," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 273-286.
    5. Baran, Sándor & Sikolya, Kinga & Stehlík, Milan, 2013. "On the optimal designs for the prediction of Ornstein–Uhlenbeck sheets," Statistics & Probability Letters, Elsevier, vol. 83(6), pages 1580-1587.

  4. Stehlík, Milan, 2006. "Exact likelihood ratio scale and homogeneity testing of some loss processes," Statistics & Probability Letters, Elsevier, vol. 76(1), pages 19-26, January.

    Cited by:

    1. Mahmood Kharrati-Kopaei & Ahad Malekzadeh, 2019. "On the exact distribution of the likelihood ratio test for testing the homogeneity of scale parameters of several two-parameter exponential distributions: complete and censored samples," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 82(4), pages 409-427, May.

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