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Robust statistics

;Contents: Historical remarks, or the dogma of normality; What is a robust procedure; Three methods for constructing estimates; Stability aspects of the preceding estimates; Jackknifing; Studentizing; Asymptotic minimax results; Finite sample minimax results; Criticisms and complements; A few other selected estimates; Other estimation problems.

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  • ";Contents: Historical remarks, or the dogma of normality; What is a robust procedure; Three methods for constructing estimates; Stability aspects of the preceding estimates; Jackknifing; Studentizing; Asymptotic minimax results; Finite sample minimax results; Criticisms and complements; A few other selected estimates; Other estimation problems."@en
  • "A new edition of the classic, groundbreaking book on robust statistics. Over twenty-five years after the publication of its predecessor, Robust Statistics, Second Edition continues to provide an authoritative and systematic treatment of the topic. This new edition has been thoroughly updated and expanded to reflect the latest advances in the field while also outlining the established theory and applications for building a solid foundation in robust statistics for both the theoretical and the applied statistician. A comprehensive introduction and discussion on the formal mathematical background."@en
  • "BA new edition of the classic, groundbreaking book on robust statistics/b Over twenty-five years after the publication of its predecessor, iRobust Statistics/i, Second Edition continues to provide an authoritative and systematic treatment of the topic. This new edition has been thoroughly updated and expanded to reflect the latest advances in the field while also outlining the established theory and applications for building a solid foundation in robust statistics for both the theoretical and the applied statistician. A comprehensive introduction and discussion on the formal mathematical background behind qualitative and quantitative robustness is provided, and subsequent chapters delve into basic types of scale estimates, asymptotic minimax theory, regression, robust covariance, and robust design. In addition to an extended treatment of robust regression, the Second Edition features four new chapters covering:ulli Robust Testsli Small Sample Asymptoticsli Breakdown Pointli Bayesian Robustness/ul An expanded treatment of robust regression and pseudo-values is also featured, and concepts, rather than mathematical completeness, are stressed in every discussion. Selected numerical algorithms for computing robust estimates and convergence proofs are provided throughout the book, along with quantitative robustness information for a variety of estimates. A General Remarks section appears at the beginning of each chapter and provides readers with ample motivation for working with the presented methods and techniques. iRobust Statistics/i, Second Edition is an ideal book for graduate-level courses on the topic. It also serves as a valuable reference for researchers and practitioners who wish to study the statistical research associated with robust statistics."@en
  • "The weak topology and its metrization; The basic types of estimates; Asymptotic minimax theory for estimating a location parameter; Scale estimates; Multiparameter problems, in particular joint estimation of location and scale; Regression; Robust covariance and correlation matrices; Robustness of design; Exact finite sample results; Miscellaneous topics."
  • ""Robust Statistics, Second Edition" includes four new chapters on the following topics such as: robust tests; small sample asymptotics; breakdown point; and, Bayesian robustness. A new section on time series has also been included. The first edition of this book was the first systematic, book-length treatment of robust statistics. The book begins with a general introduction and the formal mathematical background behind qualitative and quantitative robustness. A solid foundation of robust statistics for both the theoretical and the applied statistician is provided. The book successfully reorganizes, summarizes, and extends information that has been available in part thus far. Concepts are stressed throughout rather than mathematical completeness, and selected numerical algorithms for computing robust estimates, as well as convergence proofs, are provided. Quantitative robustness information for a variety of estimates is contained within tables throughout."
  • "The first systematic, book-length treatment of the subject. Begins with a general introduction and the formal mathematical background behind qualitative and quantitative robustness. Stresses concepts. Provides selected numerical algorithms for computing robust estimates, as well as convergence proofs."@en

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  • "Libros electrónicos"@en
  • "Electronic books"
  • "Electronic books"@en

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  • "Robust Statistics"
  • "Robastnost' v statistike"
  • "Robastnostʹ v statistike"
  • "Robatnost' v statistike"
  • "Robust statistics"
  • "Robust statistics"@en
  • "Rovastnost v statistike"
  • "Robastnosť v statistike"
  • "Robust Statistics"@en

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