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AS 75

Algorithm AS 75. Basic procedures for large, sparse or weighted linear least squares problems.

Keywords for this software

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  • cluster analysis
  • heuristics
  • FFT
  • matrix algebra
  • singular value decomposition
  • regression analysis
  • (D)-optimality
  • clusterwise regression
  • ANOVA
  • statistical algorithms
  • Multiple linear regression
  • Outliers
  • distributions
  • order statistics
  • graphics
  • fast algorithm
  • multivariate analysis
  • Scheffe theorem
  • conditioning of matrices
  • variance analysis
  • DETMAX
  • Civens transformation
  • minimum variance criterion
  • least squares algorithms
  • estimation of parameters
  • reparametrization
  • computer programs
  • hypothesis testing
  • numerical examples
  • diagrams

  • URL: www.jstor.org/stable/2...
  • InternetArchive
  • Authors: W. M. Gentleman

  • Add information on this software.


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References in zbMATH (referenced in 7 articles )

Showing results 1 to 7 of 7.
y Sorted by year (citations)

  1. Carbonneau, Réal A.; Caporossi, Gilles; Hansen, Pierre: Extensions to the repetitive branch and bound algorithm for globally optimal clusterwise regression (2012)
  2. Agulló, J.: New algorithms for computing the least trimmed squares regression estimator (2001)
  3. Nguyen, Nam-Ky; Miller, Alan J.: A review of some exchange algorithms for constructing discrete (D)-optimal designs (1992)
  4. Zvára, Karel: Analysis of variance as regression model with a reparametrization restriction (1992)
  5. Martynov, G. V.: Probabilistic-statistical programs from “Applied Statistics” (1990)
  6. Späth, Helmuth: A fast algorithm for clusterwise linear regression (1982)
  7. Wampler, Roy H.: Test procedures and test problems for least squares algorithms (1980)

  • Article statistics & filter:

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  • MSC classification / top
    • Top MSC classes
      • 15 Linear and multilinear...
      • 62 Statistics
      • 65 Numerical analysis
      • 90 Optimization

  • Publication year
    • 2010 - today
    • 2005 - 2009
    • 2000 - 2004
    • before 2000
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