rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: L1-Norm and L∞-Norm Estimation
    sub title: An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures
  name:
    name part: Farebrother, Richard William.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VI, 58 p. online resource.
  abstract: This monograph is concerned with the fitting of linear relationships in the context of the linear statistical model. As alternatives to the familiar least squared residuals procedure, it investigates the relationships between the least absolute residuals, the minimax absolute residual and the least median of squared residuals procedures. It is intended for graduate students and research workers in statistics with some command of matrix analysis and linear programming techniques.
  table of contents: Introduction -- Point Fitting Problems in One- and Two-dimensions -- The Hyperplane Fitting Problem in Two or More Dimensions -- Linear Programming Computations -- Statistical Theory -- The Least Median of Squared Residuals Procedure -- Mechanical Representations -- References -- Index of Names. .
  note: by Richard William Farebrother.
  subject:
    topic: Statistics
  subject:
    topic: Matrix theory
  subject:
    topic: Algebra
  subject:
    topic: Geometry
  subject:
    topic: Mathematics
  subject:
    topic: History
  subject:
    topic: Mechanics
  subject:
    topic: Statistics
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Linear and Multilinear Algebras, Matrix Theory
  subject:
    topic: Geometry
  subject:
    topic: History of Mathematical Sciences
  subject:
    topic: Mechanics
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Statistics
  identifier: 9783642363009
  identifier: http://dx.doi.org/10.1007/978-3-642-36300-9
  record info:
    record creation date: 130404
    record change date: 20151204182647.0
    record identifier: 978-3-642-36300-9