IDEAS home Printed from https://ideas.repec.org/a/bla/jorssc/v24y1975i3p299-308.html
   My bibliography  Save this article

Some New Goodness‐Of‐Fit Tests Using Order Statistics

Author

Listed:
  • Y. A. S. Hegazy
  • J. R. Green

Abstract

Some new tests of the goodness of fit of the uniform and of the normal distribution (both with unknown parameters) to given data are presented and the distributions of some of them are obtained approximately; also critical values are obtained by simulation. Approximate relationships for the dependence of the critical values of the test criterion upon n, the sample size, are derived, so that n need not be involved in the tabulation. The powers of the tests under certain alternatives are examined. They are found to be among the most powerful tests available for the hypotheses concerned.

Suggested Citation

  • Y. A. S. Hegazy & J. R. Green, 1975. "Some New Goodness‐Of‐Fit Tests Using Order Statistics," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 24(3), pages 299-308, November.
  • Handle: RePEc:bla:jorssc:v:24:y:1975:i:3:p:299-308
    DOI: 10.2307/2347090
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2347090
    Download Restriction: no

    File URL: https://libkey.io/10.2307/2347090?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anthony Medford & James W. Vaupel, 2020. "Extremes are not normal: a reminder to demographers," Journal of Population Research, Springer, vol. 37(1), pages 91-106, March.
    2. Fernández de Marcos Giménez de los Galanes, Alberto & García Portugués, Eduardo, 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.
    3. Fernández-de-Marcos, Alberto & García-Portugués, Eduardo, 2023. "Data-driven stabilizations of goodness-of-fit tests," Computational Statistics & Data Analysis, Elsevier, vol. 179(C).
    4. Mengta Yang & Reza Modarres, 2017. "Multivariate tests of uniformity," Statistical Papers, Springer, vol. 58(3), pages 627-639, September.
    5. H. J. Khamis, 2000. "The two-stage i -corrected Kolmogorov-Smirnov test," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(4), pages 439-450.
    6. J. S. Allison & L. Santana & N. Smit & I. J. H. Visagie, 2017. "An ‘apples to apples’ comparison of various tests for exponentiality," Computational Statistics, Springer, vol. 32(4), pages 1241-1283, December.

    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:bla:jorssc:v:24:y:1975:i:3:p:299-308. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    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.