IDEAS home Printed from https://ideas.repec.org/p/tiu/tiutis/847311c8-d871-4942-b5e3-8df8388a6bd7.html
   My bibliography  Save this paper

A Mixed Model for Double Checking Fallible Auditors

Author

Listed:
  • Raats, V.M.

    (Tilburg University, School of Economics and Management)

  • Moors, J.J.A.

    (Tilburg University, School of Economics and Management)

  • van der Genugten, B.B.

    (Tilburg University, School of Economics and Management)

Abstract

No abstract is available for this item.

Suggested Citation

  • Raats, V.M. & Moors, J.J.A. & van der Genugten, B.B., 2004. "A Mixed Model for Double Checking Fallible Auditors," Other publications TiSEM 847311c8-d871-4942-b5e3-8, Tilburg University, School of Economics and Management.
    • Handle: RePEc:tiu:tiutis:847311c8-d871-4942-b5e3-8df8388a6bd7
    as

    Download full text from publisher

    File URL: https://pure.uvt.nl/ws/portalfiles/portal/628787/82.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Moors, J.J.A. & van der Genugten, B.B. & Strijbosch, L.W.G., 1997. "Repeated Audit Controls," Discussion Paper 1997-113, Tilburg University, Center for Economic Research.
    2. V. Barnett & J. Haworth & T. M. F. Smith, 2001. "A two‐phase sampling scheme with applications to auditing or sed quis custodiet ipsos custodes?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 164(2), pages 407-422.
    3. Tamura, H & Frost, Pa, 1986. "Tightening Cav (Dus) Bounds By Using A Parametric Model," Journal of Accounting Research, Wiley Blackwell, vol. 24(2), pages 364-371.
    4. David J. Laws & Anthony O'Hagan, 2000. "Bayesian inference for rare errors in populations with unequal unit sizes," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(4), pages 577-590.
    5. Moors, Jja & Janssens, Mjbt, 1989. "Exact Distributions Of Bayesian Cox-Snell Bounds In Auditing," Journal of Accounting Research, Wiley Blackwell, vol. 27(1), pages 135-144.
    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. Raats, V.M. & Moors, J.J.A. & van der Genugten, B.B., 2004. "A Mixed Model for Double Checking Fallible Auditors," Discussion Paper 2004-82, Tilburg University, Center for Economic Research.
    2. Raats, V.M. & Moors, J.J.A., 2000. "Double Checking for Two Error Types," Other publications TiSEM 377fb0f1-fc2f-44ce-b75c-c, Tilburg University, School of Economics and Management.
    3. Housila Singh & Mariano Ruiz Espejo, 2007. "Double Sampling Ratio-product Estimator of a Finite Population Mean in Sample Surveys," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(1), pages 71-85.
    4. Raats, V.M. & Moors, J.J.A., 2000. "Double Checking for Two Error Types," Discussion Paper 2000-120, Tilburg University, Center for Economic Research.
    5. Rahardja, Dewi & Young, Dean M., 2010. "Credible sets for risk ratios in over-reported two-sample binomial data using the double-sampling scheme," Computational Statistics & Data Analysis, Elsevier, vol. 54(5), pages 1281-1287, May.
    6. Raats, V.M., 2004. "Monotone missing data and repeated controls of fallible authors," Other publications TiSEM bc3f4274-1fd5-452c-9742-9, Tilburg University, School of Economics and Management.
    7. S. K. Sahu & T. M. F. Smith, 2006. "A Bayesian method of sample size determination with practical applications," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(2), pages 235-253, March.
    8. Rahardja, Dewi & Young, Dean M., 2011. "Likelihood-based confidence intervals for the risk ratio using double sampling with over-reported binary data," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 813-823, January.
    9. Boese, Doyle H. & Young, Dean M. & Stamey, James D., 2006. "Confidence intervals for a binomial parameter based on binary data subject to false-positive misclassification," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3369-3385, 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:tiu:tiutis:847311c8-d871-4942-b5e3-8df8388a6bd7. 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.