IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v44y2004i3p527-546.html
   My bibliography  Save this article

Using spreadsheet solvers in sample design

Author

Listed:
  • Stokes, Lynne
  • Plummer, John

Abstract

No abstract is available for this item.

Suggested Citation

  • Stokes, Lynne & Plummer, John, 2004. "Using spreadsheet solvers in sample design," Computational Statistics & Data Analysis, Elsevier, vol. 44(3), pages 527-546, January.
    • Handle: RePEc:eee:csdana:v:44:y:2004:i:3:p:527-546
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(02)00322-5
    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. H. F. Huddleston & P. L. Claypool & R. R. Hocking, 1970. "Optimal Sample Allocation to Strata Using Convex Programming," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 19(3), pages 273-278, November.
    2. Valliant, Richard & Gentle, James E., 1997. "An application of mathematical programming to sample allocation," Computational Statistics & Data Analysis, Elsevier, vol. 25(3), pages 337-360, August.
    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. Carrizosa, Emilio, 2010. "Unequal probability sampling from a finite population: A multicriteria approach," European Journal of Operational Research, Elsevier, vol. 201(2), pages 500-504, March.
    2. Bretthauer, Kurt M. & Ross, Anthony & Shetty, Bala, 1999. "Nonlinear integer programming for optimal allocation in stratified sampling," European Journal of Operational Research, Elsevier, vol. 116(3), pages 667-680, August.
    3. Friedrich, Ulf & Münnich, Ralf & de Vries, Sven & Wagner, Matthias, 2015. "Fast integer-valued algorithms for optimal allocations under constraints in stratified sampling," Computational Statistics & Data Analysis, Elsevier, vol. 92(C), pages 1-12.
    4. Vicente Núñez-Antón & Juan Manuel Pérez-Salamero González & Marta Regúlez-Castillo & Carlos Vidal-Meliá, 2020. "Improving the Representativeness of a Simple Random Sample: An Optimization Model and Its Application to the Continuous Sample of Working Lives," Mathematics, MDPI, vol. 8(8), pages 1-27, July.
    5. Roberto Benedetti & Giuseppe Espa & Giovanni Lafratta, 2005. "A tree-based approach to forming strata in multipurpose business surveys," Department of Economics Working Papers 0505, Department of Economics, University of Trento, Italia.

    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:44:y:2004:i:3:p:527-546. 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.