IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v33y2013i3p350-352.html
   My bibliography  Save this article

Regarding “The Economic Efficiency of Sampling Size: The Case of Beef Trim”

Author

Listed:
  • Mark R. Powell
  • Maarten Nauta
  • Don Schaffner
  • Marcel Zwietering

Abstract

No abstract is available for this item.

Suggested Citation

  • Mark R. Powell & Maarten Nauta & Don Schaffner & Marcel Zwietering, 2013. "Regarding “The Economic Efficiency of Sampling Size: The Case of Beef Trim”," Risk Analysis, John Wiley & Sons, vol. 33(3), pages 350-352, March.
    • Handle: RePEc:wly:riskan:v:33:y:2013:i:3:p:350-352
    DOI: 10.1111/risa.12017
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/risa.12017
    Download Restriction: no
    File URL: https://libkey.io/10.1111/risa.12017?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
    ---><---

    References listed on IDEAS

    as
    1. Peyton M. Ferrier & Jean C. Buzby, 2013. "The Economic Efficiency of Sampling Size: The Case of Beef Trim," Risk Analysis, John Wiley & Sons, vol. 33(3), pages 368-384, March.
    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. Peyton M. Ferrier & Jean C. Buzby, 2013. "Response to Mark Powell's Comments," Risk Analysis, John Wiley & Sons, vol. 33(3), pages 353-355, March.
    2. Ollinger, Michael & Houser, Matthew, 2020. "Ground beef recalls and subsequent food safety performance," Food Policy, Elsevier, vol. 97(C).
    3. Mayumi Seto & Koichiro Uriu, 2015. "Sample Size Allocation for Food Item Radiation Monitoring and Safety Inspection," Risk Analysis, John Wiley & Sons, vol. 35(3), pages 409-422, March.

    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. M. Focker & H. J. van der Fels‐Klerx & A. G. J. M. Oude Lansink, 2019. "Optimization of the Aflatoxin Monitoring Costs along the Maize Supply Chain," Risk Analysis, John Wiley & Sons, vol. 39(10), pages 2227-2236, October.
    2. Ollinger, Michael & Houser, Matthew, 2020. "Ground beef recalls and subsequent food safety performance," Food Policy, Elsevier, vol. 97(C).
    3. Jeff Miller & Rolf Ulrich, 2019. "The quest for an optimal alpha," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-13, January.

    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:wly:riskan:v:33:y:2013:i:3:p:350-352. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1539-6924 .

    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.