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: Robust statistics for signal processing
  name:
    name part: Zoubir, Abdelhak M.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Koivunen, Visa
    role:
      role term: author.
  name:
    name part: Ollila, Esa
    name part: 1974-
    role:
      role term: author.
  name:
    name part: Muma, Michael
    name part: 1981-
    role:
      role term: author.
  name:
    name part: Cambridge University Press
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: nyu
    date issued: 2018
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  table of contents: Cover; Half-title; Title page; Copyright information; Contents; Preface; Abbreviations; List of Symbols; 1 Introduction and Foundations; 1.1 History of Robust Statistics; 1.2 Robust M-estimators for Single-Channel Data; 1.2.1 Location and Scale Estimation; Maximum Likelihood Estimation of Location and Scale; M-estimation of Location and Scale; 1.3 Measures of Robustness; 1.3.1 The Influence Function and Qualitative Robustness; Sensitivity Curve; The Influence Function; Qualitative Robustness of an Estimator; 1.3.2 The Breakdown Point and Quantitative Robustness; The Breakdown Point
  table of contents: The Maximum-Bias Curve1.4 Concluding Remarks; 2 Robust Estimation: The Linear Regression Model; 2.1 Complex Derivatives and Optimization; 2.2 The Linear Model and Organization of the Chapter; 2.3 The Least Squares Estimator; 2.4 Least Absolute Deviation and Rank-Least Absolute Deviation Regression; 2.4.1 Simple Linear Regression without an Intercept; Weighted Median Regression: The Real-Valued Case; Weighted Median Regression: The Complex-Valued Case; 2.4.2 Simple Linear Regression with Intercept; 2.4.3 Computation of Least Absolute Deviation and Rank-Least Absolute Deviation Estimates
  table of contents: 2.5 ML- and M-estimates of Regression with an Auxiliary Scale Estimate2.5.1 Objective Function Approach vs. Estimating Equation Approach; 2.5.2 Examples of Loss Functions; 2.5.3 Computation Using the Iteratively Reweighted Least Squares Algorithm; 2.6 Joint M-estimation of Regression and Scale Using Huber's Criterion; 2.6.1 Minimization-Majorization Algorithm; 2.6.2 Minimization-Majorization Algorithm for Huber's Criterion; 2.7 Measures of Robustness; 2.7.1 Outliers in the Linear Regression Model; 2.7.2 (p+1)-dimensional Influence Function; 2.7.3 Breakdown Point
  table of contents: 3.3.2 Subgradient Equations for the Lasso/Elastic Net3.3.3 Computation of the Lasso/Elastic Net; Cyclic Coordinate Descent Algorithm; Pathwise Coordinate Descent; 3.4 The Least Absolute Deviation-Lasso and the Rank-Lasso; 3.4.1 Simple Linear Regression (p = 1); 3.4.2 The Computation of Least Absolute Deviation-Lasso and Rank-Lasso Estimates: p > 1 Case; 3.4.3 The Fused Rank-Lasso; Image Denoising Example; 3.5 Joint Penalized M-estimation of Regression and Scale; 3.5.1 Algorithm; 3.6 Penalty Parameter Selection; 3.7 Application Example: Prostate Cancer; 3.8 Concluding Remarks
  note: Abdelhak M. Zoubir, Technische Universität, Darmstadt, Germany, Visa Koivunen, Aalto University, Finland, Esa Ollila Aalto University, Finland, Michael Muma Technische Universität, Darmstadt, Germany.
  note: Electronic resource.
  note: Includes bibliographical references and index.
  subject:
    topic: Robust statistics
  subject:
    topic: Signal processing
    topic: Mathematics
  classification: QA276 .Z68 2018
  classification: 519.5
  identifier: 9781108582759
  identifier: 1108582753
  identifier: 9781139084291
  identifier: 1139084291
  identifier: 9781107017412
  identifier: 1107017416
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: NhCcYBP
    record creation date: 181101
    record change date: 20190718162602.0
    record identifier: in00004055481