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Robust statistics : theory and methods / Ricardo A. Maronna, R. Douglas Martin, Victor J. Yohai

By:

Maronna, Ricardo A

Contributor(s):

Material type: Text

TextPublication details: Chichester, England : J. Wiley, 2006Description: 403 p. : ill. ; 24 cmISBN:

978047001092

Subject(s):

Robust statistics

Summary: 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

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Title notes ( 1 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Open Shelf	UMPLIB GAMBANG	QA276 .M37 2006 (Browse shelf(Opens below))	1	Available		0000024110

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