IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v24y1997i1p89-104.html
   My bibliography  Save this article

Nearly exact tests of conditional independence and marginal homogeneity for sparse contingency tables

Author

Listed:
  • Kim, Donguk
  • Agresti, Alan

Abstract

No abstract is available for this item.

Suggested Citation

  • Kim, Donguk & Agresti, Alan, 1997. "Nearly exact tests of conditional independence and marginal homogeneity for sparse contingency tables," Computational Statistics & Data Analysis, Elsevier, vol. 24(1), pages 89-104, March.
  • Handle: RePEc:eee:csdana:v:24:y:1997:i:1:p:89-104
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(96)00038-2
    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. Agresti, Alan & Lipsitz, Stuart & Lang, Joseph B., 1992. "Comparing marginal distributions of large, sparse contingency tables," Computational Statistics & Data Analysis, Elsevier, vol. 14(1), pages 55-73, June.
    2. Alan Agresti & Dennis Wackerly & James Boyett, 1979. "Exact conditional tests for cross-classifications: Approximation of attained significance levels," Psychometrika, Springer;The Psychometric Society, vol. 44(1), pages 75-83, March.
    3. W. Meade Morgan & Brent A. Blumenstein, 1991. "Exact Conditional Tests for Hierarchical Models in Multidimensional Contingency Tables," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 40(3), pages 435-442, November.
    4. W. M. Patefield, 1981. "An Efficient Method of Generating Random R × C Tables with Given Row and Column Totals," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 30(1), pages 91-97, March.
    5. Baglivo, Jenny & Olivier, Donald & Pagano, Marcello, 1993. "Analysis of discrete data: Rerandomization methods and complexity," Computational Statistics & Data Analysis, Elsevier, vol. 16(2), pages 175-184, August.
    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. Agresti, Alan & Coull, Brent A., 1998. "Order-restricted inference for monotone trend alternatives in contingency tables," Computational Statistics & Data Analysis, Elsevier, vol. 28(2), pages 139-155, August.
    2. Baak, M. & Koopman, R. & Snoek, H. & Klous, S., 2020. "A new correlation coefficient between categorical, ordinal and interval variables with Pearson characteristics," Computational Statistics & Data Analysis, Elsevier, vol. 152(C).
    3. Ivy Liu & Alan Agresti, 2005. "The analysis of ordered categorical data: An overview and a survey of recent developments," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 14(1), pages 1-73, June.

    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. Agresti, Alan & Coull, Brent A., 1998. "Order-restricted inference for monotone trend alternatives in contingency tables," Computational Statistics & Data Analysis, Elsevier, vol. 28(2), pages 139-155, August.
    2. Borkowf, Craig B., 2004. "An efficient algorithm for generating two-way contingency tables with fixed marginal totals and arbitrary mean proportions, with applications to permutation tests," Computational Statistics & Data Analysis, Elsevier, vol. 44(3), pages 431-449, January.
    3. Demuynck, Thomas & Salman, Umutcan, 2022. "On the revealed preference analysis of stable aggregate matchings," Theoretical Economics, Econometric Society, vol. 17(4), November.
    4. Enrique Garcia Tejeda, 2022. "La concentracion espacial de los reportes de disparos al 911 en la Ciudad de Mexico: ¿Comportamiento racional en el uso de armas durante la pandemia Covid-19?," Sobre México. Revista de Economía, Sobre México. Temas en economía, vol. 3(5), pages 69-93.
    5. Huiman X. Barnhart & John M. Williamson, 2002. "Weighted Least-Squares Approach for Comparing Correlated Kappa," Biometrics, The International Biometric Society, vol. 58(4), pages 1012-1019, December.
    6. Marco Riani & Anthony C. Atkinson & Francesca Torti & Aldo Corbellini, 2022. "Robust correspondence analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1381-1401, November.
    7. repec:jss:jstsof:06:i04 is not listed on IDEAS
    8. Rivest, Louis-Paul & Ebouele, Sergio Ewane, 2020. "Sampling a two dimensional matrix," Computational Statistics & Data Analysis, Elsevier, vol. 149(C).
    9. Li, Jiang-Cheng & Leng, Na & Zhong, Guang-Yan & Wei, Yu & Peng, Jia-Sheng, 2020. "Safe marginal time of crude oil price via escape problem of econophysics," Chaos, Solitons & Fractals, Elsevier, vol. 133(C).
    10. Hojsgaard, Soren & Thiesson, Bo, 1995. "BIFROST -- Block recursive models induced from relevant knowledge, observations, and statistical techniques," Computational Statistics & Data Analysis, Elsevier, vol. 19(2), pages 155-175, February.
    11. Chen, Jie & Glaz, Joseph, 2002. "Approximations for a conditional two-dimensional scan statistic," Statistics & Probability Letters, Elsevier, vol. 58(3), pages 287-296, July.
    12. Michael Filzmoser & Rudolf Vetschera, 2008. "A Classification of Bargaining Steps and their Impact on Negotiation Outcomes," Group Decision and Negotiation, Springer, vol. 17(5), pages 421-443, September.
    13. David Kahle & Ruriko Yoshida & Luis Garcia-Puente, 2018. "Hybrid schemes for exact conditional inference in discrete exponential families," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 70(5), pages 983-1011, October.
    14. Hirji, Karim F., 1998. "Assessing fast Fourier transform algorithms," Computational Statistics & Data Analysis, Elsevier, vol. 27(1), pages 1-9, March.
    15. Benchong Li & Liya Fu, 2018. "Exact test of goodness of fit for binomial distribution," Statistical Papers, Springer, vol. 59(3), pages 851-860, September.
    16. Mark Reiser, 1996. "Analysis of residuals for the multionmial item response model," Psychometrika, Springer;The Psychometric Society, vol. 61(3), pages 509-528, September.
    17. Dickhaus Thorsten, 2015. "Simultaneous Bayesian analysis of contingency tables in genetic association studies," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 14(4), pages 347-360, August.
    18. Baak, M. & Koopman, R. & Snoek, H. & Klous, S., 2020. "A new correlation coefficient between categorical, ordinal and interval variables with Pearson characteristics," Computational Statistics & Data Analysis, Elsevier, vol. 152(C).
    19. Tvedebrink, Torben & Eriksen, Poul Svante & Morling, Niels, 2015. "The multivariate Dirichlet-multinomial distribution and its application in forensic genetics to adjust for subpopulation effects using the θ-correction," Theoretical Population Biology, Elsevier, vol. 105(C), pages 24-32.
    20. Rayner, J. C. W. & Best, D. J., 1996. "Smooth extensions of Pearsons's product moment correlation and Spearman's rho," Statistics & Probability Letters, Elsevier, vol. 30(2), pages 171-177, October.
    21. Hirji, Karim F., 1997. "A review and a synthesis of the fast Fourier transform algorithms for exact analysis of discrete data," Computational Statistics & Data Analysis, Elsevier, vol. 25(3), pages 321-336, August.

    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:24:y:1997:i:1:p:89-104. 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.