Robust Statistics: Theory and Methods (with R), 2nd Edition (Wiley Series in Probability and Statistics) - Image 1

Price loading...

Wiley Robust Statistics: Theory and Methods (with R), 2nd Edition (Wiley Series in Probability and Statistics)

Name: Robust Statistics: Theory and Methods (with R), 2nd Edition (Wiley Series in Probability and Statistics)
Brand: Wiley

Engineering & Technology

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

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.

Product Specifications

Brand: Wiley
Format: hardcover
ASIN: 1119214688
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology
Domain: Amazon UK
Release Date: 21 December 2018
Listed Since: 25 July 2015

Barcode

No barcode data available

Wiley Robust Statistics: Theory and Methods (with R), 2nd Edition (Wiley Series in Probability and Statistics)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Robust Statistics, 2nd Edition (Wiley Series in Probability and Statistics)

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

Robustness Theory and Application (Wiley Series in Probability and Statistics)

Robust Statistics: The Approach Based on Influence Functions: 196 (Wiley Series in Probability and Statistics)

A Guide to Robust Statistical Methods

Wiley Robust Regression & Outlier Detection - 516 Series

Methodology in Robust and Nonparametric Statistics

Probability with R: An Introduction with Computer Science Applications

Robust Estimation and Testing: 220 (Wiley Series in Probability and Statistics)

Introduction to Robust Estimation and Hypothesis Testing (Statistical Modeling and Decision Science)

Robust Mixed Model Analysis

Introduction to Statistics Through Resampling Methods and R, 2nd Edition

Mixed Models: Theory and Applications with R: 893 (Wiley Series in Probability and Statistics)

Robust Methods for Data Reduction

Generalized, Linear, and Mixed Models, 2nd Edition (Wiley Series in Probability and Statistics)

Multivariate Density Estimation: Theory, Practice, and Visualization (Wiley Series in Probability and Statistics)

Statistical Robust Design: An Industrial Perspective

Wiley Modern Regression Methods - Second Edition Textbook

Statistical Methods for Reliability Data (Wiley Series in Probability and Statistics)

Methods for Statistical Data Analysis of Multivariate Observations: 321 (Wiley Series in Probability and Statistics)

Statistics for Experimenters: Design, Innovation, and Discovery (Wiley Series in Probability and Statistics)

Handbook of Regression Analysis With Applications in R (Wiley Series in Probability and Statistics)

Biostatistical Methods: The Assessment of Relative Risks (Wiley Series in Probability and Statistics)

Statistical Methods for the Reliability of Repairable Systems: 354 (Wiley Series in Probability and Statistics)