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Robust Statistics : Theory and Methods (With R), Hardcover by Maronna, Ricard...

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Item specifics

Condition
Like New: A book in excellent condition. Cover is shiny and undamaged, and the dust jacket is ...
Book Title
Robust Statistics : Theory and Methods (With R)
ISBN
9781119214687
Publication Name
Robust Statistics : Theory and Methods (With R)
Item Length
9.1in
Publisher
Wiley & Sons, Incorporated, John
Publication Year
2019
Series
Wiley Series in Probability and Statistics Ser.
Type
Textbook
Format
Hardcover
Language
English
Item Height
1in
Author
Matías Salibián-Barrera, Victor J. Yohai, R. Douglas Martin, Ricardo A. Maronna
Item Width
6.2in
Item Weight
24.9 Oz
Number of Pages
464 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1119214688
ISBN-13
9781119214687
eBay Product ID (ePID)
22038683866

Product Key Features

Author
Matías Salibián-Barrera, Victor J. Yohai, R. Douglas Martin, Ricardo A. Maronna
Publication Name
Robust Statistics : Theory and Methods (With R)
Format
Hardcover
Language
English
Publication Year
2019
Series
Wiley Series in Probability and Statistics Ser.
Type
Textbook
Number of Pages
464 Pages

Dimensions

Item Length
9.1in
Item Height
1in
Item Width
6.2in
Item Weight
24.9 Oz

Additional Product Features

Lc Classification Number
Qa276.M336 2019
Edition Number
2
Table of Content
Preface Preface to the First Edition About the Companion Website 1 Introduction 2 Location and Scale 3 Measuring Robustness 4 Linear Regression 1 5 Linear Regression 2 6 Multivariate Analysis 7 Generalized Linear Models 8 Time Series 9 Numerical Algorithms 10 Asymptotic Theory of M-estimators 11 Description of Datasets References Index
Copyright Date
2019
Topic
Probability & Statistics / General
Lccn
2018-033202
Intended Audience
Scholarly & Professional
Genre
Mathematics

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