IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v21y1996i6p609-626.html
   My bibliography  Save this article

Optimal correction for continuity and conditions for validity in the unconditional chi-squared test

Author

Listed:
  • Andres, A. Martin
  • Mato, A. Silva

Abstract

No abstract is available for this item.

Suggested Citation

  • Andres, A. Martin & Mato, A. Silva, 1996. "Optimal correction for continuity and conditions for validity in the unconditional chi-squared test," Computational Statistics & Data Analysis, Elsevier, vol. 21(6), pages 609-626, June.
  • Handle: RePEc:eee:csdana:v:21:y:1996:i:6:p:609-626
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0167-9473(94)00035-2
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

    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. Andres, A. Martin & Mato, A. Silva, 1994. "Choosing the optimal unconditioned test for comparing two independent proportions," Computational Statistics & Data Analysis, Elsevier, vol. 17(5), pages 555-574, 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. Martin Andres, A. & Sanchez Quevedo, M. J. & Silva Mato, A., 1998. "Fisher's Mid-P-value arrangement in 2x2 Comparative trials," Computational Statistics & Data Analysis, Elsevier, vol. 29(1), pages 107-115, November.

    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. Devan V. Mehrotra & Ivan S. F. Chan & Roger L. Berger, 2003. "A Cautionary Note on Exact Unconditional Inference for a Difference between Two Independent Binomial Proportions," Biometrics, The International Biometric Society, vol. 59(2), pages 441-450, June.
    2. M. Álvarez Hernández & A. Martín Andrés & I. Herranz Tejedor, 2016. "One-sided asymptotic inferences for a proportion," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(9), pages 1738-1752, July.
    3. Martin Andres, A. & Sanchez Quevedo, M. J. & Silva Mato, A., 1998. "Fisher's Mid-P-value arrangement in 2x2 Comparative trials," Computational Statistics & Data Analysis, Elsevier, vol. 29(1), pages 107-115, November.
    4. Eugene Seneta & Geoffrey Berry & Petra Macaskill, 1999. "Adjustment to Lancaster's Mid-P," Methodology and Computing in Applied Probability, Springer, vol. 1(2), pages 229-240, September.
    5. Martin Andres, A. & Herranz Tejedor, I., 2004. "Exact unconditional non-classical tests on the difference of two proportions," Computational Statistics & Data Analysis, Elsevier, vol. 45(2), pages 373-388, March.
    6. Phipps, Mary C. & Byron, Peter M., 2007. "A filter for "confidence interval P-values"," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6435-6446, August.
    7. Andres, A. Martin & Tejedor, I. Herranz, 1995. "Is Fisher's exact test very conservative?," Computational Statistics & Data Analysis, Elsevier, vol. 19(5), pages 579-591, May.
    8. Martin Andres, A. & Mato, A. Silva & Garcia, J. M. Tapia & Quevedo, M. J. Sanchez, 2004. "Comparing the asymptotic power of exact tests in 2x2 tables," Computational Statistics & Data Analysis, Elsevier, vol. 47(4), pages 745-756, November.
    9. Skipka, G. & Munk, A. & Freitag, G., 2004. "Unconditional exact tests for the difference of binomial probabilities--contrasted and compared," Computational Statistics & Data Analysis, Elsevier, vol. 47(4), pages 757-773, November.
    10. Boris Freidlin & Joseph L. Gastwirth, 1999. "Unconditional Versions of Several Tests Commonly Used in the Analysis of Contingency Tables," Biometrics, The International Biometric Society, vol. 55(1), pages 264-267, March.
    11. Guha, Debashis & Hiris, Lorene, 2002. "The aggregate credit spread and the business cycle," International Review of Financial Analysis, Elsevier, vol. 11(2), pages 219-227.
    12. Andres, Martin & Garcia, Tapia, 1999. "Optimal unconditional test in 2x2 multinomial trials," Computational Statistics & Data Analysis, Elsevier, vol. 31(3), pages 311-321, September.
    13. Munk, A. & Skipka, G. & Stratmann, B., 2005. "Testing general hypotheses under binomial sampling: the two sample case--asymptotic theory and exact procedures," Computational Statistics & Data Analysis, Elsevier, vol. 49(3), pages 723-739, June.

    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:eee:csdana:v:21:y:1996:i:6:p:609-626. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    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.