Research Catalog

Parallel algorithms for linear models : numerical methods and estimation problems

Title
Parallel algorithms for linear models : numerical methods and estimation problems / by Erricos John Kontoghiorghes.
Author
Kontoghiorghes, Erricos John.
Publication
Boston : Kluwer Academic, ©2000.

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TextUse in library QA276 .K645 2000Off-site

Details

Description
xvii, 182 pages : illustrations; 25 cm.
Summary
  • "Parallel Algorithms for Linear Models provides a complete and detailed account of the design, analysis and implementation of parallel algorithms for solving large-scale linear models. It investigates and presents efficient, numerically stable algorithms for computing the least-squares estimators and other quantities of interest on massively parallel systems."
  • "The practical issues of the parallel algorithms and the theoretical aspects of the numerical methods will be of interest to a broad range of researchers working in the areas of numerical and computational methods in statistics and econometrics, parallel numerical algorithms, parallel computing and numerical linear algebra. The aim of this monograph is to promote research in the interface of econometrics, computational statistics, numerical linear algebra and parallelism."--Jacket.
Series Statement
Advances in computational economics ; v. 15
Uniform Title
Advances in computational economics ; v. 15.
Subject
  • Linear models (Statistics) > Data processing
  • Parallel algorithms
  • Lineaire modellen
  • Dataprocessing
  • Algoritmen
Bibliography (note)
  • Includes bibliographical references (p. [163]-175) and indexes.
Contents
1. Linear Models and QR Decomposition. Linear model specification. Forming the QR decomposition. Data parallel algorithms for computing the QR decomposition. QRD of large and skinny matrices. QRD of a set of matrices -- 2. OLM Not of Full Rank. The QLD of the coefficient matrix. Triangularizing the lower trapezoid. Computing the orthogonal matrices. Discussion -- 3. Updating and Downdating the OLM. Adding observations. Adding exogenous variables. Deleting observations. Deleting exogenous variables -- 4. The General Linear Model. Parallel algorithms. Implementation and performance analysis -- 5. Sure Models. The generalized linear least squares method. Triangular SURE models. Covariance restrictions -- 6. Simultaneous Equations Models.
ISBN
  • 0792377206
  • 9780792377207
LCCN
99056040
OCLC
  • ocm42753455
  • 42753455
  • SCSB-962888
Owning Institutions
Princeton University Library