IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v5y1987i4p239-253.html
   My bibliography  Save this article

An introduction to L1-norm based statistical data analysis

Author

Listed:
  • Dodge, Yadolah

Abstract

No abstract is available for this item.

Suggested Citation

  • Dodge, Yadolah, 1987. "An introduction to L1-norm based statistical data analysis," Computational Statistics & Data Analysis, Elsevier, vol. 5(4), pages 239-253, September.
    • Handle: RePEc:eee:csdana:v:5:y:1987:i:4:p:239-253
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0167-9473(87)90048-X
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cabana Garceran del Vall, Elisa & Laniado Rodas, Henry & Lillo Rodríguez, Rosa Elvira, 2017. "Multivariate outlier detection based on a robust Mahalanobis distance with shrinkage estimators," DES - Working Papers. Statistics and Econometrics. WS 24613, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Lewis, Robert P. & Taha, Hamdy A., 1995. "An investigation of the use of goal programming to fit response surfaces," European Journal of Operational Research, Elsevier, vol. 86(3), pages 537-548, November.
    3. Elisa Cabana & Rosa E. Lillo & Henry Laniado, 2021. "Multivariate outlier detection based on a robust Mahalanobis distance with shrinkage estimators," Statistical Papers, Springer, vol. 62(4), pages 1583-1609, August.
    4. Kristian Sabo & Rudolf Scitovski & Ivan Vazler, 2011. "Searching for a Best Least Absolute Deviations Solution of an Overdetermined System of Linear Equations Motivated by Searching for a Best Least Absolute Deviations Hyperplane on the Basis of Given Dat," Journal of Optimization Theory and Applications, Springer, vol. 149(2), pages 293-314, May.
    5. Oliveira, Aurelio R. L. & Nascimento, Mario A. & Lyra, Christiano, 2000. "Efficient implementation and benchmark of interior point methods for the polynomial L1 fitting problem," Computational Statistics & Data Analysis, Elsevier, vol. 35(2), pages 119-135, December.
    6. Guillaume Lecué & Mathieu Lerasle, 2017. "Robust machine learning by median-of-means : theory and practice," Working Papers 2017-32, Center for Research in Economics and Statistics.
    7. Pedro Duarte Silva, A., 2017. "Optimization approaches to Supervised Classification," European Journal of Operational Research, Elsevier, vol. 261(2), pages 772-788.
    8. Lazar Fred & Prisman Eliezer Z., 2012. "Constructing Historical Yield Curves from Very Sparse Spot Rates: A Methodology and Examples from the 1920s Canadian Market," Journal of Business Valuation and Economic Loss Analysis, De Gruyter, vol. 7(1), pages 1-24, May.
    9. Dragutin Vincek & Gordana Kralik & Goran Kušec & Kristian Sabo & Rudolf Scitovski, 2012. "Application of growth functions in the prediction of live weight of domestic animals," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(4), pages 719-733, December.

    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:5:y:1987:i:4:p:239-253. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.