IDEAS home Printed from https://ideas.repec.org/a/spr/stpapr/v56y2015i2p569-582.html
   My bibliography  Save this article

Discordancy tests for two-parameter exponential samples

Author

Listed:
  • Chien-Tai Lin
  • Shih-Chun Wang

Abstract

The inside-out sequential procedures for testing up to $$k$$ k upper outliers in a two-parameter exponential sample are investigated. Six test statistics, one based on the ratio of the difference of largest observation and the sample mean which are unsuspected to be outliers to the range of these observations, and others used for block test procedures discussed in Basu (J Am Stat Assoc 60:548–559, 1965 ), Balasooriya and Gadag (J Stat Comput Simul 50:249–259, 1994 ), Zerbet and Nikulin (Commun Stat Theory Methods 32:573–583, 2003 ) and Kumar (Testing for suspected observations in an exponential sample with unknown origin, 2013 ), are considered. Utilizing the recursion of Huffer (J Appl Probab 25:346–354, 1988 ) and algorithm of Lin and Balakrishnan (Comput Stat Data Anal 53:3281–3290, 2009 ), the critical values of the joint null distributions of these test statistics for sequential testing discordancy of $$k$$ k upper outliers in two-parameter exponential samples on the important cases $$k= 2$$ k = 2 and $$3$$ 3 are obtained. We also propose a simple procedure to determine $$k$$ k , which can reduce the masking or swamping effect. Powers of tests based on these statistics are compared through a Monte Carlo study. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Chien-Tai Lin & Shih-Chun Wang, 2015. "Discordancy tests for two-parameter exponential samples," Statistical Papers, Springer, vol. 56(2), pages 569-582, May.
  • Handle: RePEc:spr:stpapr:v:56:y:2015:i:2:p:569-582
    DOI: 10.1007/s00362-014-0597-3
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00362-014-0597-3
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s00362-014-0597-3?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. A. C. Kimber, 1982. "Tests for Many Outliers in an Exponential Sample," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 31(3), pages 263-271, November.
    2. Lin, Chien-Tai & Balakrishnan, N., 2009. "Exact computation of the null distribution of a test for multiple outliers in an exponential sample," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3281-3290, July.
    3. Jin Zhang, 1998. "Tests for multiple upper or lower outliers in an exponential sample," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(2), pages 245-255.
    4. A. C. Kimber & H. J. Stevens, 1981. "The Null Distribution of a Test for Two Upper Outliers in an Exponential Sample," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 30(2), pages 153-157, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Chien-Tai Lin & Ying-Chen Lee & Narayanaswamy Balakrishnan, 2019. "Package mTEXO for testing the presence of outliers in exponential samples," Computational Statistics, Springer, vol. 34(2), pages 803-818, June.
    2. Nirpeksh Kumar, 2019. "Exact distributions of tests of outliers for exponential samples," Statistical Papers, Springer, vol. 60(6), pages 2031-2061, December.

    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. Nirpeksh Kumar, 2019. "Exact distributions of tests of outliers for exponential samples," Statistical Papers, Springer, vol. 60(6), pages 2031-2061, December.
    2. Chien-Tai Lin & Ying-Chen Lee & Narayanaswamy Balakrishnan, 2019. "Package mTEXO for testing the presence of outliers in exponential samples," Computational Statistics, Springer, vol. 34(2), pages 803-818, June.
    3. Nirpeksh Kumar, 2013. "A procedure for testing suspected observations," Statistical Papers, Springer, vol. 54(2), pages 471-478, May.
    4. Lin, Chien-Tai & Balakrishnan, N., 2009. "Exact computation of the null distribution of a test for multiple outliers in an exponential sample," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3281-3290, July.
    5. Jong-Wuu Wu, 2001. "A note on determining the number of outliers in an exponential sample by least squares procedure," Statistical Papers, Springer, vol. 42(4), pages 489-503, October.
    6. Vilijandas Bagdonavičius & Linas Petkevičius, 2020. "Multiple Outlier Detection Tests for Parametric Models," Mathematics, MDPI, vol. 8(12), pages 1-23, December.
    7. Jin Zhang & Keming Yu, 2006. "The null distribution of the likelihood-ratio test for one or two outliers in a normal sample," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 15(1), pages 141-150, June.
    8. S. Lalitha & Pratyasha Tripathi, 2018. "Detection of a pair of outliers in a sample from a Gumbel distribution with known scale parameter," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(2), pages 243-254, January.
    9. Jin Zhang, 1998. "Tests for multiple upper or lower outliers in an exponential sample," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(2), pages 245-255.

    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:spr:stpapr:v:56:y:2015:i:2:p:569-582. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.