£120.60

Springer Robustness in Econometrics: 692 - Studies in Comp. Intel.

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Description

Explore the latest research on robustness in econometrics with this specialized volume from Springer. As part of the Studies in Computational Intelligence series, this book focuses on robust data processing techniques designed to produce results that remain minimally affected by outliers. This capability is essential for maintaining accuracy in complex economic and financial environments. Beyond outlier management, the text covers the application of traditional statistical techniques to modern econometric problems. It provides a deep look into how mathematical and statistical methods analyze economic systems, forecast financial dynamics, and help develop strategies for achieving economic goals. Whether you are studying economic systems or working on financial forecasting, this book offers the technical foundations needed to handle real-life data challenges effectively.

Key Features

Focuses on robust data processing techniques that yield reliable results even when data contains outliers.

Provides practical applications for real-life economic and financial situations to improve decision making.

Covers the use of traditional statistical techniques applied directly to modern econometric problems.

Explores mathematical and statistical methods used to analyze and understand complex economic systems.

Offers insights into forecasting economic and financial dynamics for better strategic planning.

Part of the Studies in Computational Intelligence series for advanced academic and professional research.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 February 2017
Listed Since
09 November 2016

Barcode

No barcode data available

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