Developments in Robust Statistics

This book PDF is perfect for those who love Mathematics genre, written by Rudolf Dutter and published by Springer Science & Business Media which was released on 06 December 2012 with total hardcover pages 445. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Developments in Robust Statistics books below.

Developments in Robust Statistics
Developments in Robust Statistics
Author : Rudolf Dutter
File Size : 40,6 Mb
Publisher : Springer Science & Business Media
Language : English
Release Date : 06 December 2012
ISBN : 9783642573385
Pages : 445 pages
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Developments in Robust Statistics by Rudolf Dutter Book PDF Summary

Aspects of Robust Statistics are important in many areas. Based on the International Conference on Robust Statistics 2001 (ICORS 2001) in Vorau, Austria, this volume discusses future directions of the discipline, bringing together leading scientists, experienced researchers and practitioners, as well as younger researchers. The papers cover a multitude of different aspects of Robust Statistics. For instance, the fundamental problem of data summary (weights of evidence) is considered and its robustness properties are studied. Further theoretical subjects include e.g.: robust methods for skewness, time series, longitudinal data, multivariate methods, and tests. Some papers deal with computational aspects and algorithms. Finally, the aspects of application and programming tools complete the volume.

Developments in Robust Statistics

Developments in Robust Statistics by Rudolf Dutter,Peter Filzmoser,Ursula Gather,Peter J. Rousseeuw

Aspects of Robust Statistics are important in many areas. Based on the International Conference on Robust Statistics 2001 (ICORS 2001) in Vorau, Austria, this volume discusses future directions of the discipline, bringing together leading scientists, experienced researchers and practitioners, as well as younger researchers. The papers cover a multitude of different aspects

Get Book
Recent Advances in Robust Statistics Theory and Applications

Recent Advances in Robust Statistics Theory and Applications by Claudio Agostinelli,Ayanendranath Basu,Peter Filzmoser,Diganta Mukherjee

This book offers a collection of recent contributions and emerging ideas in the areas of robust statistics presented at the International Conference on Robust Statistics 2015 (ICORS 2015) held in Kolkata during 12–16 January, 2015. The book explores the applicability of robust methods in other non-traditional areas which includes the use of new techniques

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Robust Statistical Procedures

Robust Statistical Procedures by Jana Jurecková,Pranab Kumar Sen

A broad and unified methodology for robust statistics—with exciting new applications Robust statistics is one of the fastest growing fields in contemporary statistics. It is also one of the more diverse and sometimes confounding areas, given the many different assessments and interpretations of robustness by theoretical and applied statisticians.

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Robust Statistical Procedures

Robust Statistical Procedures by Peter J. Huber

Here is a brief, well-organized, and easy-to-follow introduction and overview of robust statistics. Huber focuses primarily on the important and clearly understood case of distribution robustness, where the shape of the true underlying distribution deviates slightly from the assumed model (usually the Gaussian law). An additional chapter on recent developments

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Robust and Multivariate Statistical Methods

Robust and Multivariate Statistical Methods by Mengxi Yi,Klaus Nordhausen

This book presents recent developments in multivariate and robust statistical methods. Featuring contributions by leading experts in the field it covers various topics, including multivariate and high-dimensional methods, time series, graphical models, robust estimation, supervised learning and normal extremes. It will appeal to statistics and data science researchers, PhD students

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Robust Statistics by Ricardo A. Maronna,R. Douglas Martin,Victor J. Yohai,Matías Salibián-Barrera

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

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Developments in Robust Statistics

Developments in Robust Statistics by Rudolf Dutter,Peter Filzmoser,Ursula Gather,Peter J. Rousseeuw

Aspects of Robust Statistics are important in many areas. Based on the International Conference on Robust Statistics 2001 (ICORS 2001) in Vorau, Austria, this volume discusses future directions of the discipline, bringing together leading scientists, experienced researchers and practitioners, as well as younger researchers. The papers cover a multitude of different aspects

Get Book
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Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into account these deviations while estimating the parameters of parametric models, thus increasing the accuracy of the inference. Research into robust methods is flourishing, with new methods being developed and different applications considered.

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