IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v38y2001i2p139-160.html
   My bibliography  Save this article

A comparison of discriminant procedures for binary variables

Author

Listed:
  • Asparoukhov, Ognian K.
  • Krzanowski, Wojtek J.

Abstract

No abstract is available for this item.

Suggested Citation

  • Asparoukhov, Ognian K. & Krzanowski, Wojtek J., 2001. "A comparison of discriminant procedures for binary variables," Computational Statistics & Data Analysis, Elsevier, vol. 38(2), pages 139-160, December.
    • Handle: RePEc:eee:csdana:v:38:y:2001:i:2:p:139-160
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(01)00032-9
    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.

    References listed on IDEAS

    as
    1. A. Duarte Silva & Antonie Stam, 1997. "A mixed integer programming algorithm for minimizing the training sample misclassification cost in two-group classification," Annals of Operations Research, Springer, vol. 74(0), pages 129-157, November.
    2. Paul Rubin, 1997. "Solving mixed integer classification problems by decomposition," Annals of Operations Research, Springer, vol. 74(0), pages 51-64, November.
    3. Ognian Asparoukhov & Antonie Stam, 1997. "Mathematical programming formulations for two-group classification with binary variables," Annals of Operations Research, Springer, vol. 74(0), pages 89-112, November.
    4. M. Hills, 1967. "Discrimination and Allocation with Discrete Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 16(3), pages 237-250, November.
    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. Gafar Matanmi Oyeyemi & George Chinanu Mbaeyi & Saheed Ishola Salawu & Bernard Olagboyega Muse, 2016. "On discrimination procedure with mixtures of continuous and categorical variables," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(10), pages 1864-1873, August.
    2. Yau Fu, Chong & Hung, Jeng-Hsiu & Liu, Shih-Hua & Chien, Yung-Lin, 2005. "A new algorithm for solving binary discrimination in conditional logistic regression, with two choices of strata," Computational Statistics & Data Analysis, Elsevier, vol. 49(1), pages 85-97, April.
    3. Chu, Chi-Yang & Henderson, Daniel J. & Parmeter, Christopher F., 2017. "On discrete Epanechnikov kernel functions," Computational Statistics & Data Analysis, Elsevier, vol. 116(C), pages 79-105.
    4. Gonzalo Perez-de-la-Cruz & Guillermina Eslava-Gomez, 2019. "Discriminant analysis for discrete variables derived from a tree-structured graphical model," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(4), pages 855-876, December.

    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. Pedro Duarte Silva, A., 2017. "Optimization approaches to Supervised Classification," European Journal of Operational Research, Elsevier, vol. 261(2), pages 772-788.
    2. Parag Pendharkar & Marvin Troutt, 2014. "Interactive classification using data envelopment analysis," Annals of Operations Research, Springer, vol. 214(1), pages 125-141, March.
    3. Brandner, Hubertus & Lessmann, Stefan & Voß, Stefan, 2013. "A memetic approach to construct transductive discrete support vector machines," European Journal of Operational Research, Elsevier, vol. 230(3), pages 581-595.
    4. Pendharkar, Parag C. & Troutt, Marvin D., 2011. "DEA based dimensionality reduction for classification problems satisfying strict non-satiety assumption," European Journal of Operational Research, Elsevier, vol. 212(1), pages 155-163, July.
    5. Mkhadri, A. & Celeux, G. & Nasroallah, A., 1997. "Regularization in discriminant analysis: an overview," Computational Statistics & Data Analysis, Elsevier, vol. 23(3), pages 403-423, January.
    6. Adem, Jan & Gochet, Willy, 2006. "Mathematical programming based heuristics for improving LP-generated classifiers for the multiclass supervised classification problem," European Journal of Operational Research, Elsevier, vol. 168(1), pages 181-199, January.
    7. Hanif Sherali & Justin Hill, 2013. "Configuration of airspace sectors for balancing air traffic controller workload," Annals of Operations Research, Springer, vol. 203(1), pages 3-31, March.
    8. Gianni Codato & Matteo Fischetti, 2006. "Combinatorial Benders' Cuts for Mixed-Integer Linear Programming," Operations Research, INFORMS, vol. 54(4), pages 756-766, August.
    9. Loucopoulos, Constantine, 2001. "Three-group classification with unequal misclassification costs: a mathematical programming approach," Omega, Elsevier, vol. 29(3), pages 291-297, June.
    10. Margarita Díaz & Fernando Ferrero & Cecilia Díaz & Patricia Caro & María Inés Stimolo, 2005. "Análisis del desempleo urbano a través de un estudio comparativo de métodos de clasificación," Revista de Economía y Estadística, Universidad Nacional de Córdoba, Facultad de Ciencias Económicas, Instituto de Economía y Finanzas, vol. 43(2), pages 61-85, Diciembre.

    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:38:y:2001:i:2:p:139-160. 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: 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.