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Mathematical Programming

  • Richard Valliant
  • Jill A. Dever
  • Frauke Kreuter
Chapter
Part of the Statistics for Social and Behavioral Sciences book series (SSBS, volume 51)

Abstract

Earlier chapters examined sample size determination and allocation to strata for a single variable. In reality, almost every survey of any size is multipurpose. Data on a number of different variables are collected on each sample unit. Estimates are made of population values for the full population and for various domains or subpopulations. In addition, a variety of types of estimates may be made, including means, totals, quantiles, and model parameters.

References

  1. Dantzig G.B. (1963). Linear Programming and Extensions. Princeton University Press, Princeton NJGoogle Scholar
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  3. Lange K. (2004). Optimization. Springer, New YorkGoogle Scholar
  4. Madsen K., Nielsen H.B., Tingleff O. (2004). Optimization with constraints. Tech. rep., Technical University of Denmark, URL http://www2.imm.dtu.dk/pubdb/views/edoc_download.php/4213/pdf/imm4213.pdf, 2nd edn
  5. Powell S.G., Baker K.R. (2003). The Art of Modeling with Spreadsheets: Management Science, Spreadsheet Engineering, and Modeling Craft. John Wiley & Sons, Inc., New YorkGoogle Scholar
  6. Varadhan R. (2010). alabama: Constrained nonlinear optimization. URL http://CRAN.R-project.org/package=alabama, (with contributions from Gabor Grothendieck). R package version 2010.10-1
  7. Winston W., Venkataramanan M. (2003). Introduction to Mathematical Programming, 4th edn. Duxbury Press, Pacific Grove CAGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Richard Valliant
    • 1
  • Jill A. Dever
    • 2
  • Frauke Kreuter
    • 3
  1. 1.University of MichiganAnn ArborUSA
  2. 2.RTI InternationalWashington, DCUSA
  3. 3.University of MarylandCollege ParkUSA

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