£110.51

Springer - Recent Advances in Robust Statistics Book

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Description

Explore the latest developments in statistical theory and practical applications with Recent Advances in Robust Statistics: Theory and Applications. Published by Springer, this volume compiles significant contributions and emerging ideas from the International Conference on Robust Statistics 2015 (ICORS 2015) held in Kolkata. This book provides a deep look into how robust methods apply to non-traditional fields. Readers can study the use of new techniques, including scaled Bregman divergences, multilevel functional data methods, and the use of skew and mixture of skew distributions. It covers diverse application areas such as circular data models and the prediction of mortality and life expectancy. Designed for researchers and professionals in econometrics and statistics, this collection offers a comprehensive overview of modern methodologies. By presenting research from ICORS 2015, the text serves as a valuable resource for understanding how robust statistical techniques can be implemented across various complex data environments.

Key Features

Includes research and ideas presented at the International Conference on Robust Statistics 2015 (ICORS 2015) in Kolkata.

Covers new techniques such as skew and mixture of skew distributions and scaled Bregman divergences.

Explores the use of multilevel functional data methods for advanced statistical analysis.

Provides practical application examples including circular data models.

Discusses statistical methods for the prediction of mortality and life expectancy.

Offers insights into applying robust methods within non-traditional areas of study.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
11 November 2016
Listed Since
06 July 2016

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No barcode data available

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