£101.24

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 brings together 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 are applied to non-traditional areas. Readers will find information on new techniques such as scaled Bregman divergences, multilevel functional data methods, and the use of skew and mixture of skew distributions. The text also covers specialized application areas, including circular data models and the prediction of mortality and life expectancy. Designed for researchers and academics, this collection serves as a valuable resource for understanding how modern statistical techniques can be implemented across diverse fields. Whether you are studying new distribution models or looking for advancements in functional data, this book offers a comprehensive overview of the current state of robust statistics.

Key Features

Includes research from the International Conference on Robust Statistics 2015 (ICORS 2015) held in Kolkata.

Covers new techniques such as skew and mixture of skew distributions for advanced statistical modeling.

Explores the use of scaled Bregman divergences and multilevel functional data methods.

Provides insights into application areas like circular data models and mortality prediction.

Offers a detailed look at the applicability of robust methods in non-traditional research areas.

Published by Springer to ensure high-quality academic and theoretical content.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
29 June 2018
Listed Since
29 June 2018

Barcode

No barcode data available

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