IDEAS home Printed from https://ideas.repec.org/p/trn/utwpde/0505.html
   My bibliography  Save this paper

A tree-based approach to forming strata in multipurpose business surveys

Author

Listed:
  • Roberto Benedetti
  • Giuseppe Espa
  • Giovanni Lafratta

Abstract

No abstract is available for this item.

Suggested Citation

  • 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.
    • Handle: RePEc:trn:utwpde:0505
    as

    Download full text from publisher

    File URL: http://www.unitn.it/files/5_05_espa.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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)

    Citations

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


    Cited by:

    1. Siegfried Gabler & Andreas Quatember, 2013. "Repräsentativität von Subgruppen bei geschichteten Zufallsstichproben," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 7(3), pages 105-119, 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. 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. 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.
    3. 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.
    4. Stokes, Lynne & Plummer, John, 2004. "Using spreadsheet solvers in sample design," Computational Statistics & Data Analysis, Elsevier, vol. 44(3), pages 527-546, January.

    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:trn:utwpde:0505. 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: Luciano Andreozzi (email available below). General contact details of provider: https://edirc.repec.org/data/detreit.html .

    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.