£64.55

Wiley Quantile Regression: Estimation and Simulation Volume 2

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Description

Quantile Regression Volume 2 provides applied researchers with a comprehensive guide to advanced quantile regression methods, continuing from the foundational first volume. This text covers essential technical topics including robustness, expectiles, m-quantile regression, decomposition techniques, time series applications, elemental sets, and linear programming approaches. The book combines theoretical rigour with practical application, featuring extensive graphical representations to visually introduce concepts and illustrate methodologies. Each topic is treated both theoretically and through real data examples, making it an invaluable resource for statisticians and researchers working with quantile-based regression analysis. Part of the respected Wiley Series in Probability and Statistics, this volume balances mathematical precision with accessible, example-driven instruction designed for researchers applying these techniques in practice.

Key Features

Covers advanced topics including robustness, expectiles, m-quantile, decomposition and time series methods within quantile regression.

Features extensive graphical representations throughout to visually introduce concepts and illustrate each statistical method clearly.

Combines theoretical treatment with real data examples across all topics to support practical application and understanding.

Part of the Wiley Series in Probability and Statistics Volume 2, continuing from the first volume's foundation.

Designed as a practical resource for applied researchers and statisticians implementing quantile regression techniques.

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
14 September 2018
Listed Since
09 October 2013

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