IDEAS home Printed from https://ideas.repec.org/a/spr/compst/v23y2008i2p253-276.html
   My bibliography  Save this article

Monitoring process variability using auxiliary information

Author

Listed:
  • Muhammad Riaz

Abstract

No abstract is available for this item.

Suggested Citation

  • Muhammad Riaz, 2008. "Monitoring process variability using auxiliary information," Computational Statistics, Springer, vol. 23(2), pages 253-276, April.
    • Handle: RePEc:spr:compst:v:23:y:2008:i:2:p:253-276
    DOI: 10.1007/s00180-007-0084-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00180-007-0084-6
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s00180-007-0084-6?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. M. Garcia & A. Cebrian, 1996. "Repeated substitution method: The ratio estimator for the population variance," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 43(1), pages 101-105, December.
    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. Luiz M A Lima-Filho & Tarciana Liberal Pereira & Tatiene C Souza & Fábio M Bayer, 2020. "Process monitoring using inflated beta regression control chart," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-20, July.
    2. Muhammad Riaz, 2008. "Monitoring process mean level using auxiliary information," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 62(4), pages 458-481, November.
    3. Ahmad, Shabbir & Riaz, Muhammad & Abbasi, Saddam Akber & Lin, Zhengyan, 2013. "On monitoring process variability under double sampling scheme," International Journal of Production Economics, Elsevier, vol. 142(2), pages 388-400.

    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. Pandey Ranjita & Yadav Kalpana, 2017. "Population Variance Estimation Using Factor Type Imputation Method," Statistics in Transition New Series, Polish Statistical Association, vol. 18(3), pages 375-392, September.
    2. Muhammad Riaz & Ronald Does, 2009. "A process variability control chart," Computational Statistics, Springer, vol. 24(2), pages 345-368, May.
    3. M. Rueda & A. Arcos, 2004. "Improving ratio-type quantile estimates in a finite population," Statistical Papers, Springer, vol. 45(2), pages 231-248, April.
    4. Rajesh Tailor & Balkishan Sharma, 2012. "Modified estimators of population variance in presence of auxiliary information," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 13(1), pages 37-46, March.
    5. Sarjinder Singh & Balbinder Deo, 2003. "Imputation by power transformation," Statistical Papers, Springer, vol. 44(4), pages 555-579, October.
    6. Sarjinder Singh, 2006. "Survey statisticians celebrate golden jubilee year 2003 of the linear regression estimator," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 63(1), pages 1-18, February.
    7. A. Cebrián & M. García, 1997. "Variance estimation using auxiliary information: An almost unbiased multivariate ratio estimator," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 45(1), pages 171-178, January.
    8. Ranjita Pandey & Kalpana Yadav, 2017. "Population Variance Estimation Using Factor Type Imputation Method," Statistics in Transition New Series, Polish Statistical Association, vol. 18(3), pages 375-392, September.
    9. Housila Singh & Ramkrishna Solanki, 2013. "A new procedure for variance estimation in simple random sampling using auxiliary information," Statistical Papers, Springer, vol. 54(2), pages 479-497, May.

    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:compst:v:23:y:2008:i:2:p:253-276. 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.