IDEAS home Printed from https://ideas.repec.org/f/pst263.html
   My authors  Follow this author

Milan Stehlík

Personal Details

First Name:Milan
Middle Name:
Last Name:Stehlík
Suffix:
RePEc Short-ID:pst263
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

as
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. 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.

  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.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Milan Stehlík should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.