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Publicado por Taylor & Francis Group, 2019
ISBN 10: 113803536X ISBN 13: 9781138035362
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Publicado por Taylor & Francis Group, 2019
ISBN 10: 113803536X ISBN 13: 9781138035362
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Añadir al carritohardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2019
ISBN 10: 113803536X ISBN 13: 9781138035362
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Añadir al carritoHardcover. Condición: new. Hardcover. The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new developments and on the computational aspects. There are many numerical examples and notes on the R environment, and the updated chapter on the multivariate model contains additional material on visualization of multivariate data in R. A new chapter on robust procedures in measurement error models concentrates mainly on the rank procedures, less sensitive to errors than other procedures. This book will be an invaluable resource for researchers and postgraduate students in statistics and mathematics.Features Provides a systematic, practical treatment of robust statistical methods Offers a rigorous treatment of the whole range of robust methods, including the sequential versions of estimators, their moment convergence, and compares their asymptotic and finite-sample behavior The extended account of multivariate models includes the admissibility, shrinkage effects and unbiasedness of two-sample tests Illustrates the small sensitivity of the rank procedures in the measurement error model Emphasizes the computational aspects, supplies many examples and illustrations, and provides the own procedures of the authors in the R software on the books website The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new developments and on the computational aspects. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoGebunden. Condición: New.
Idioma: Inglés
Publicado por Taylor & Francis Ltd Mai 2019, 2019
ISBN 10: 113803536X ISBN 13: 9781138035362
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Añadir al carritoBuch. Condición: Neu. Neuware.
Idioma: Inglés
Publicado por Taylor & Francis Ltd, London, 2019
ISBN 10: 113803536X ISBN 13: 9781138035362
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EUR 231,76
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Añadir al carritoHardcover. Condición: new. Hardcover. The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new developments and on the computational aspects. There are many numerical examples and notes on the R environment, and the updated chapter on the multivariate model contains additional material on visualization of multivariate data in R. A new chapter on robust procedures in measurement error models concentrates mainly on the rank procedures, less sensitive to errors than other procedures. This book will be an invaluable resource for researchers and postgraduate students in statistics and mathematics.Features Provides a systematic, practical treatment of robust statistical methods Offers a rigorous treatment of the whole range of robust methods, including the sequential versions of estimators, their moment convergence, and compares their asymptotic and finite-sample behavior The extended account of multivariate models includes the admissibility, shrinkage effects and unbiasedness of two-sample tests Illustrates the small sensitivity of the rank procedures in the measurement error model Emphasizes the computational aspects, supplies many examples and illustrations, and provides the own procedures of the authors in the R software on the books website The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new developments and on the computational aspects. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.