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Robust Statistics: Theory and Methods (with R) (Wiley Series in Probability and Statistics)

Book Specification

Binding Hardcover
Language English
Number Of Pages 464
Author Ricardo A. Maronna
Publisher Wiley-Blackwell
Isbn-10 1119214688
Isbn-13 9781119214687
Dimension 15.75*2.54*23.11

Robust Statistics: Theory and Methods (with R) (Wiley Series in Probability and Statistics)

Ricardo A. Maronna's Robust Statistics: Theory and Methods (with R) (Wiley Series in Probability and Statistics)

A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodology using the increasingly popular open-source Software R. Classical Statistics fail to cope well with outliers associated with deviations from standard distributions. Robust statistical methods take into account these deviations when estimating the parameters of parametric models, thus increasing the reliability of fitted Models and associated inference. This new, second edition of Robust Statistics Theory and Methods (with R) presents a broad coverage of the Theory of robust Statistics that is integrated with computing methods and applications. Updated to include important new Research results of the last decade and focus on the use of the popular Software package R, it features in-depth coverage of the key methodology, including regression, multivariate analysis, and Time series modeling. The book is illustrated throughout by a range of examples and applications that are supported by a companion website featuring data sets and R code that allow the reader to reproduce the examples given in the book. Unlike other Books on the market, Robust Statistics Theory and Methods (with R) offers the most comprehensive, definitive, and up-to-date treatment of the subject. It features chapters on estimating location and scale; measuring robustness; linear regression with fixed and with random predictors; multivariate analysis; generalized linear models; Time series; numerical algorithms; and asymptotic Theory of M-estimates. Explains both the use and theoretical justification of robust methods Guides Readers in selecting and using the most appropriate robust methods for their problems Features computational Algorithms for the core methods Robust Statistics Research results of the last decade included in this 2nd edition include: fast deterministic robust regression, finite-sample robustness, robust regularized regression, robust location and scatter estimation with missing data, robust estimation with independent outliers in variables, and robust mixed linear models. 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 an ideal resource for researchers, practitioners, and graduate students in statistics, engineering, computer science, and physical and social sciences.
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Amazon, Hardcover Rs. 6549.0

Why you should read Robust Statistics: Theory and Methods (with R) (Wiley Series in Probability and Statistics) by Ricardo A. Maronna

This book has been written by Ricardo A. Maronna, who has written books like Robust Statistics: Theory and Methods (with R) (Wiley Series in Probability and Statistics). The books are written in Engineering & Technology category. This book is read by people who are interested in reading books in category : Engineering & Technology. So, if you want to explore books similar to This book, you must read and buy this book.

How long would it take for you to read Robust Statistics: Theory and Methods (with R) (Wiley Series in Probability and Statistics)

Depending on your reading style, this is how much time you would take to complete reading this book.

Reading Style Time To Finish The Book
Slow 92 hours
Average 46 hours
Good 30 hours
Excellent 15 hours
So if you are a Reader belonging in the Good category, and you read it daily for 1 hour, it will take you 30 days.
Note: A slow reader usually reads 100 words per minute, an average reader 200 words per minute, an average reader 300 words per minute and an excellent leader reads about 600-1000 words per minute, however the comprehension may vary.

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