IDEAS home Printed from https://ideas.repec.org/p/tiu/tiutis/90cad915-010b-4c3f-9697-9c771fe2dd68.html
   My bibliography  Save this paper

A Monte Carlo study to obtain the percentage points of some goodness of fit tests in testing normality, when observations satisfy a certain low order ARMA-scheme

Author

Listed:
  • Heuts, R.M.J.

    (Tilburg University, School of Economics and Management)

  • Rens, P.J.

Abstract

No abstract is available for this item.

Suggested Citation

  • Heuts, R.M.J. & Rens, P.J., 1977. "A Monte Carlo study to obtain the percentage points of some goodness of fit tests in testing normality, when observations satisfy a certain low order ARMA-scheme," Other publications TiSEM 90cad915-010b-4c3f-9697-9, Tilburg University, School of Economics and Management.
  • Handle: RePEc:tiu:tiutis:90cad915-010b-4c3f-9697-9c771fe2dd68
    as

    Download full text from publisher

    File URL: https://pure.uvt.nl/ws/portalfiles/portal/1176485/HRMJRPJ5615734.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Heuts, R.M.J., 1977. "Some reformulations and extensions in the univariate Box-Jenkins time series analysis approach (A revised version)," Other publications TiSEM 80fe73e5-ec23-4f45-9089-e, Tilburg University, School of Economics and Management.
    2. A. N. Pettitt, 1977. "Testing the Normality of Several Independent Samples Using the Anderson‐Darling Statistic," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 26(2), pages 156-161, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fernández de Marcos Giménez de los Galanes, Alberto, 2022. "Data-driven stabilizations of goodness-of-fit tests," DES - Working Papers. Statistics and Econometrics. WS 35324, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Fernández-de-Marcos, Alberto & García-Portugués, Eduardo, 2023. "Data-driven stabilizations of goodness-of-fit tests," Computational Statistics & Data Analysis, Elsevier, vol. 179(C).
    3. Max Chacón & José Luis Jara & Ronney B Panerai, 2014. "A New Model-Free Index of Dynamic Cerebral Blood Flow Autoregulation," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-11, October.
    4. Arzu Ozkaya & Zuhal Akyurek, 2019. "Evaluating the use of bias-corrected radar rainfall data in three flood events in Samsun, Turkey," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 98(2), pages 643-674, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tiu:tiutis:90cad915-010b-4c3f-9697-9c771fe2dd68. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Richard Broekman (email available below). General contact details of provider: https://www.tilburguniversity.edu/about/schools/economics-and-management/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.