Robust statistics : theory and methods /
Maronna, Ricardo A.,
Robust statistics : theory and methods / Ricardo A. Maronna, R. Douglas Martin, Víctor J. Yohai. - xx, 403 pages : illustrations ; 24 cm. - Wiley series in probability and statistics . - Wiley series in probability and statistics. .
Includes bibliographical references and index.
Location and scale -- Measuring robustness -- Linear regression 1 -- Linear regression 2 -- Multivariate analysis -- Generalized linear models -- Time series -- Numerical algorithms -- Asymptotic theory of M-estimates -- Robust methods in S-plus -- Description of data sets.
"Robust statistics sets out to explain the use of robust methods and their theoretical justification. It provides an up-to-date overview of the theory and practical application of robust statistical methods in regression, multivariate analysis, generalized linear models and time series." "Robust Statistics aims to stimulate the use of robust methods as a powerful tool to increase the reliability and accuracy of statistical modelling and data analysis. It is ideal for researchers, practitioners and graduate students of statistics, electrical, chemical and biochemical engineering, and computer vision. There is also much to benefit researchers from other sciences, such as biotechnology, who need to use robust statistical methods in their work."--Jacket.
0470010924 9780470010921
Robust statistics.
QA276 / .M37 2006
519.5
Robust statistics : theory and methods / Ricardo A. Maronna, R. Douglas Martin, Víctor J. Yohai. - xx, 403 pages : illustrations ; 24 cm. - Wiley series in probability and statistics . - Wiley series in probability and statistics. .
Includes bibliographical references and index.
Location and scale -- Measuring robustness -- Linear regression 1 -- Linear regression 2 -- Multivariate analysis -- Generalized linear models -- Time series -- Numerical algorithms -- Asymptotic theory of M-estimates -- Robust methods in S-plus -- Description of data sets.
"Robust statistics sets out to explain the use of robust methods and their theoretical justification. It provides an up-to-date overview of the theory and practical application of robust statistical methods in regression, multivariate analysis, generalized linear models and time series." "Robust Statistics aims to stimulate the use of robust methods as a powerful tool to increase the reliability and accuracy of statistical modelling and data analysis. It is ideal for researchers, practitioners and graduate students of statistics, electrical, chemical and biochemical engineering, and computer vision. There is also much to benefit researchers from other sciences, such as biotechnology, who need to use robust statistical methods in their work."--Jacket.
0470010924 9780470010921
Robust statistics.
QA276 / .M37 2006
519.5