IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v93y1996i3p582-601.html
   My bibliography  Save this article

Examining the effect of second-order terms in mathematical programming approaches to the classification problem

Author

Listed:
  • Wanarat, Pradit
  • Pavur, Robert

Abstract

No abstract is available for this item.

Suggested Citation

  • Wanarat, Pradit & Pavur, Robert, 1996. "Examining the effect of second-order terms in mathematical programming approaches to the classification problem," European Journal of Operational Research, Elsevier, vol. 93(3), pages 582-601, September.
    • Handle: RePEc:eee:ejores:v:93:y:1996:i:3:p:582-601
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0377-2217(95)00076-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Rubin, P. A., 1994. "A comment regarding polynomial discriminant functions," European Journal of Operational Research, Elsevier, vol. 72(1), pages 29-31, January.
    2. Silva, Antonio Pedro Duarte & Stam, Antonie, 1994. "Second order mathematical programming formulations for discriminant analysis," European Journal of Operational Research, Elsevier, vol. 72(1), pages 4-22, January.
    3. Banks, William J. & Abad, Prakash L., 1994. "On the performance of linear programming heuristics applied on a quadratic transformation in the classification problem," European Journal of Operational Research, Elsevier, vol. 72(1), pages 23-28, January.
    4. Rubin, Paul A., 1989. "Evaluating the maximize minimum distance formulation of the linear discriminant problem," European Journal of Operational Research, Elsevier, vol. 41(2), pages 240-248, July.
    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. Lau, Kin-nam & Leung, Pui-lam & Tse, Ka-kit, 1999. "A mathematical programming approach to clusterwise regression model and its extensions," European Journal of Operational Research, Elsevier, vol. 116(3), pages 640-652, August.

    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. Mingue Sun, 2009. "Liquidity Risk and Financial Competition: A Mixed Integer Programming Model for Multiple-Class Discriminant Analysis," Working Papers 0102, College of Business, University of Texas at San Antonio.
    2. Pedro Duarte Silva, A., 2017. "Optimization approaches to Supervised Classification," European Journal of Operational Research, Elsevier, vol. 261(2), pages 772-788.
    3. Sueyoshi, Toshiyuki, 1999. "DEA-discriminant analysis in the view of goal programming," European Journal of Operational Research, Elsevier, vol. 115(3), pages 564-582, June.
    4. Sueyoshi, Toshiyuki, 2001. "Extended DEA-Discriminant Analysis," European Journal of Operational Research, Elsevier, vol. 131(2), pages 324-351, June.
    5. Stam, Antonie & Ungar, David R., 1995. "RAGNU: A microcomputer package for two-group mathematical programming-based nonparametric classification," European Journal of Operational Research, Elsevier, vol. 86(2), pages 374-388, October.
    6. Lam, Kim Fung & Moy, Jane W., 2002. "Combining discriminant methods in solving classification problems in two-group discriminant analysis," European Journal of Operational Research, Elsevier, vol. 138(2), pages 294-301, April.
    7. Mingue Sun, 2009. "Liquidity Risk and Financial Competition: A Mixed Integer Programming Model for Multiple-Class Discriminant Analysis," Working Papers 0102, College of Business, University of Texas at San Antonio.
    8. Sueyoshi, Toshiyuki, 2006. "DEA-Discriminant Analysis: Methodological comparison among eight discriminant analysis approaches," European Journal of Operational Research, Elsevier, vol. 169(1), pages 247-272, February.
    9. Zopounidis, Constantin & Doumpos, Michael, 2002. "Multicriteria classification and sorting methods: A literature review," European Journal of Operational Research, Elsevier, vol. 138(2), pages 229-246, April.
    10. Lau, Kin-nam & Leung, Pui-lam & Tse, Ka-kit, 1999. "A mathematical programming approach to clusterwise regression model and its extensions," European Journal of Operational Research, Elsevier, vol. 116(3), pages 640-652, August.
    11. Sueyoshi, Toshiyuki & Goto, Mika, 2009. "DEA-DA for bankruptcy-based performance assessment: Misclassification analysis of Japanese construction industry," European Journal of Operational Research, Elsevier, vol. 199(2), pages 576-594, December.
    12. Glen, J.J., 2006. "A comparison of standard and two-stage mathematical programming discriminant analysis methods," European Journal of Operational Research, Elsevier, vol. 171(2), pages 496-515, June.
    13. Sueyoshi, Toshiyuki, 2004. "Mixed integer programming approach of extended DEA-discriminant analysis," European Journal of Operational Research, Elsevier, vol. 152(1), pages 45-55, January.
    14. Ravi Kumar, P. & Ravi, V., 2007. "Bankruptcy prediction in banks and firms via statistical and intelligent techniques - A review," European Journal of Operational Research, Elsevier, vol. 180(1), pages 1-28, July.
    15. Ostermark, Ralf & Hoglund, Rune, 1998. "Addressing the multigroup discriminant problem using multivariate statistics and mathematical programming," European Journal of Operational Research, Elsevier, vol. 108(1), pages 224-237, July.
    16. A. Pedro Duarte Silva & Antonie Stam & John Neter, 1997. "Two-Group Classification in Business: an Evaluation of Paramatric and Non-Parametric Approaches," Working Papers de Economia (Economics Working Papers) 03, Católica Porto Business School, Universidade Católica Portuguesa.
    17. J J Glen, 2008. "An additive utility mixed integer programming model for nonlinear discriminant analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(11), pages 1492-1505, November.
    18. Wilson, J. M., 1996. "Integer programming formulations of statistical classification problems," Omega, Elsevier, vol. 24(6), pages 681-688, December.
    19. J J Glen, 2005. "Mathematical programming models for piecewise-linear discriminant analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(3), pages 331-341, March.
    20. Lam, Kim Fung & Moy, Jane W., 2003. "A piecewise linear programming approach to the two-group discriminant problem - an adaptation to Fisher's linear discriminant function model," European Journal of Operational Research, Elsevier, vol. 145(2), pages 471-481, March.

    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:ejores:v:93:y:1996:i:3:p:582-601. 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/eor .

    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.