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Birkhauser Advances in Data Analysis: Theory and Applications - Birkhauser

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Description

This collection of invited chapters presents recent developments in data analysis with practical applications to reliability, inference, data mining, bioinformatics, lifetime data, and neural networks. Originating from the 12th International Conference on Applied Stochastic Models and Data Analysis, the volume emphasises new methods designed to solve real-world problems across multiple disciplines including text mining, information theory, statistical applications, and the asymptotic behaviour of stochastic processes and random fields. The book addresses contemporary challenges in bioinformatics and provides theoretical foundations alongside practical implementations, making it valuable for researchers, practitioners, and professionals working in quantitative fields who need accessible yet rigorous treatment of modern data analysis techniques.

Key Features

Collection of invited chapters covering advances in data analysis theory and practical applications across multiple fields.

Addresses key application areas including reliability, inference, data mining, and bioinformatics relevant to industry practitioners.

Explores asymptotic behaviour of stochastic processes and random fields with theoretical depth for advanced users.

Includes coverage of neural networks and lifetime data analysis methods applicable to real-world problem-solving.

Birkhauser publication offers authoritative treatment of applied stochastic models and statistical methodologies.

Used book in good condition provides an economical option for accessing established reference material in data analysis.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
08 December 2009
Listed Since
24 June 2009

Barcode

No barcode data available

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