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Robust Statistics

A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation;

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Recent Advances in Robust Statistics: Theory and Applications

This book offers a collection of recent contributions and emerging ideas in the areas of robust statistics presented at the International;

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Robust Statistics

Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into;

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Robust Correlation Theory & Aplications

corresponding robust and non-robust estimation procedures. Every chapter contains a set of examples with simulated and real-life data. Key features;

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Robust Methods in Biostatistics

Robust statistics is an extension of classical statistics that specifically takes into account the concept that the underlying models used;

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Robust Statistics for Signal Processing

Understand the benefits of robust statistics for signal processing with this authoritative yet accessible text. The first ever book on the;

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Methodology in Robust and Nonparametric Statistics

Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from;

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Methodology in Robust and Nonparametric Statistics

Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from;

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Robust Statistics

A new edition of the classic, groundbreaking book on robust statistics Over twenty-five years after the publication of its predecessor;

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Robust Nonlinear Regression

The first book to discuss robust aspects of nonlinear regression-with applications using R software Robust Nonlinear Regression: with;

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Encyclopedia of Robust Control

The purpose of this book is to provide some exemplary models and significant challenges faced in the domain of robust control design and;

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Robust Estimation And Testing

Offering an introduction to the theory and methods of robust statistics at an intermediate level, this work aims to illustrate the need for;

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Robust Statistical Methods with R, Second Edition

The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new;

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Robust Statistical Methods with R, Second Edition

The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new;

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Encyclopedia of Robust Control

This book presents an elaborative account of the advancements made in robust control system. The purpose of this book is to provide;

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Uncertain Models and Robust Control

Uncertain Models and Robust Control .;

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Statistics of Quality

quality and warranty; quality standards in medicine and public health; Taguchi robust designs and survival models; and more.;

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Statistics of Quality

quality and warranty; quality standards in medicine and public health; Taguchi robust designs and survival models; and more.;

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Theory And Applications Of Recent Robust Methods

Intended for both researchers and practitioners, this book will be a valuable resource for studying and applying recent robust statistical;

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Simulation and Robust Statistics

This book addresses the topics statistical simulation and robust estimation. It is accompanied by several software packages for the open;

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Non-monotonic Approach to Robust H? Control of Multi-model Systems

Non-monotonic Approach to Robust H8 Control of Multi-model Systems focuses on robust analysis and synthesis problems for multi-model;

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Robust Multivariate Analysis

This text presents methods that are robust to the assumption of a multivariate normal distribution or methods that are robust to certain;

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Robust Mixed Model Analysis

standpoint, that the methods of inference about these models are robust to violation of model assumptions. Fortunately, there is a full scale;

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Robustness Theory and Application

A preeminent expert in the field explores new and exciting methodologies in the ever-growing field of robust statistics Used to develop;

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A Statistical Approach to Neural Networks for Pattern Recognition

network models. This book aims to answer questions that arise when statisticians are first confronted with this type of model, such as: How robust;

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Modern Nonparametric, Robust and Multivariate Methods

Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and;

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Robust Cluster Analysis and Variable Selection

well founded in the theoretical aspects. In Robust Cluster Analysis and Variable Selection, Gunter Ritter presents an overview of the theory;

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