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Robust Statistical Methods with R, Second Edition (Hardcover, 2nd edition)
Loot Price: R3,339
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Robust Statistical Methods with R, Second Edition (Hardcover, 2nd edition)
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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 book's website
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