• PROGRESS

  • Referenced in 10 articles [sw26316]
  • developments in PROGRESS. The least median of squares (LMS) regression method is highly robust ... PROGRESS, which also computes the least trimmed squares (LTS) method. We will discuss the various...
  • ltsbase

  • Referenced in 2 articles [sw27788]
  • Estimates based on LTS (Least Trimmed Squares) Method. This is a new tool to estimate...
  • truncSP

  • Referenced in 2 articles [sw27005]
  • Regarding linear regression models, the ordinary least squares estimator is inconsistent and biased for these ... using three different estimators: the symmetrically trimmed least squares, quadratic mode, and left truncated estimators...
  • galts

  • Referenced in 1 article [sw24525]
  • Algorithms and C-Steps Based LTS (Least Trimmed Squares) Estimation. Includes the ga.lts() function that ... estimates LTS (Least Trimmed Squares) parameters using genetic algorithms and C-steps. ga.lts() constructs ... value of the LTS criterion. OLS (Ordinary Least Squares) regression is known to be sensitive...
  • RobPer

  • Referenced in 1 article [sw24102]
  • regression techniques are least squares, least absolute deviations, least trimmed squares ... theoretically only justified in case of least squares regression, independent periodogram bars and a null...
  • MDI

  • Referenced in 2 articles [sw35028]
  • internally, are included in the toolbox: trimmed scores regression (TSR), known data regression ... regression (KDR-PCR), KDR with partial least squares regression (KDR-PLS), projection to the model...
  • TEEReg

  • Referenced in 0 articles [sw15460]
  • least squares approach is sensitive to outliers and/or violations of model assumptions. The trimmed elemental...
  • UStatBookABSC

  • Referenced in 1 article [sw26172]
  • Euclidean inner products and norms, weighted least squares estimates on multivariate responses, function to compute ... Texts and Readings in Mathematics” (TRIM) series of Hindustan Book Agency and Springer-Verlag...
  • ExGUtils

  • Referenced in 1 article [sw20872]
  • discuss advantages and differences between the least squares and maximum likelihood methods and quantitatively evaluate ... there is a need for data trimming and at which points it should be done...
  • BARON

  • Referenced in 324 articles [sw00066]
  • BARON is a computational system for solving nonconvex...
  • CGAL

  • Referenced in 362 articles [sw00118]
  • The goal of the CGAL Open Source Project...
  • ISOGAT

  • Referenced in 288 articles [sw00457]
  • A tutorial 2D MATLAB code for solving elliptic...
  • LAPACK

  • Referenced in 1647 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • Mathematica

  • Referenced in 6041 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 12477 articles [sw00558]
  • MATLAB® is a high-level language and interactive...
  • NAG

  • Referenced in 419 articles [sw00610]
  • Produced by experts for use in a variety...
  • PLTMG

  • Referenced in 215 articles [sw00717]
  • PLTMG 11.0 is a package for solving elliptic...
  • R

  • Referenced in 8728 articles [sw00771]
  • R is a language and environment for statistical...
  • ROBETH

  • Referenced in 43 articles [sw00811]
  • ROBETH is the program library for robust statistical...
  • SageMath

  • Referenced in 1714 articles [sw00825]
  • Sage (SageMath) is free, open-source math software...