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Robust Statistical Methods with R, Second Edition free ebook download

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Mathematics

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Catalogue

Author(s):	Jana Jureckova, Jan Picek, Martin Schindler

Date:	2019	Format:	PDF	Language:	English	ISBN/ASIN:	113803536X
Pages:	1	OCR:		Quality:		ISBN13:
Uploader:	stirkout	Upload Date:	2/16/2020 6:59:49 AM

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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

Links Table

	Title	Link	Password	Size (MB)	Thank to	Inform Admin
2704039	Book	http://k2s.cc/file/a1070ae9e9604...		3.00	stirkout

Tags: Methods Robust Statistical

Title	Link	Password	Size	Reason

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Robust Statistical Methods with R, Second Edition free ebook download

Category: Mathematics

Description: Click to see full description

Category:
Mathematics