IDEAS home Printed from https://ideas.repec.org/a/spr/cejnor/v20y2012i4p719-733.html
   My bibliography  Save this article

Application of growth functions in the prediction of live weight of domestic animals

Author

Listed:
  • Dragutin Vincek
  • Gordana Kralik
  • Goran Kušec
  • Kristian Sabo
  • Rudolf Scitovski

Abstract

We consider several most frequently used growth functions with the aim of predicting live weight of domestic animals. Special attention is paid to the possibility of estimating well the saturation level of animal weight and defining life cycle phases based on animal weight. Parameters of the growth function are most often estimated on the basis of measurement data by applying the least squares (LS) principle. These nonlinear optimization problems very often refer to a numerically very demanding and unstable process. In practice, it is also possible that among the data there might appear several measurement errors or poor measurement samples. Such data might lead not only to unreliable, but very often to wrong conclusions. The least absolute deviations (LAD) principle can be successfully applied for the purpose of detecting and minorizing the effect of such data. On the other hand, by using known properties of LAD-approximation it is possible to significantly simplify the minimizing functional, by which parameters of the growth function are estimated. Implementation of two such possibilities is shown in terms of methodology. Copyright Springer-Verlag 2012

Suggested Citation

  • 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.
    • Handle: RePEc:spr:cejnor:v:20:y:2012:i:4:p:719-733
    DOI: 10.1007/s10100-011-0199-2
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10100-011-0199-2
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10100-011-0199-2?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. Dodge, Yadolah, 1987. "An introduction to L1-norm based statistical data analysis," Computational Statistics & Data Analysis, Elsevier, vol. 5(4), pages 239-253, September.
    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. Laniado Rodas, Henry, 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. 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.
    3. Pedro Duarte Silva, A., 2017. "Optimization approaches to Supervised Classification," European Journal of Operational Research, Elsevier, vol. 261(2), pages 772-788.
    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. 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.
    6. 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.
    7. 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.
    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.

    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:cejnor:v:20:y:2012:i:4:p:719-733. 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.