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

£63.69

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
Price: 63.69 GBP
Availability: InStock

Engineering & Technology

This is the usual price. Wait for it to drop, or tell us your number.

£64 today · usual range £0–£0 · best ever £60

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 583 days • 583 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 583 days • 5 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £67-70 (245 days, 42.0%)

Price range: £60 - £72

Price levels: 5 price ranges over 583 days

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)

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

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

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

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

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

A Guide to Robust Statistical Methods

A Guide to Robust Statistical Methods

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

Springer - Recent Advances in Robust Statistics Book

Robust Statistics for Signal Processing

Statistical Robust Design: An Industrial Perspective

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

R Programming: Statistical Data Analysis in Research

Robust Asymptotic Statistics: Volume I (Springer Series in Statistics)

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

Robust Methods for Data Reduction

Analytical Methods in Statistics: AMISTAT, Liberec, Czech Republic, September 2019: 329 (Springer Proceedings in Mathematics & Statistics, 329)

Robustness in Econometrics: 692 (Studies in Computational Intelligence, 692)

Advanced Regression Models with SAS and R

Methodology in Robust and Nonparametric Statistics

Elsevier Handbook of Statistics: Computational Statistics with R

CRC Press R for Political Data Science: A Practical Guide

R for Political Data Science: A Practical Guide (Chapman & Hall/CRC The R Series)

Bilinear Regression Analysis: An Introduction: 220 (Lecture Notes in Statistics, 220)