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Springer Contemporary Experimental Design - Multivariate Analysis & Data Mining

Amazon

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£131.39 £128.17 £128.87 £129.57 £130.28 £130.98 £131.68 25 July 2026 11 August 2026 29 August 2026 15 September 2026 03 October 2026
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Price range: £128 - £131

Price levels: 3 different prices over 71 days

Description

This comprehensive festschrift celebrates Professor Kai-Tai Fang's contributions to modern statistical science with cutting-edge research in experimental design, multivariate analysis, and data mining. The collection brings together leading work across computational biology, quantitative finance, information engineering, machine learning, neuroscience, medicine, and social sciences. Published by Springer, the book addresses the challenges of big data by presenting innovative statistical theories and practical methods for analysing high-dimensional, complex datasets. Ideal for researchers, data scientists, and academics seeking advanced insights into contemporary analytical approaches and their real-world applications across multiple disciplines.

Key Features

Published by Springer as a festschrift honouring Professor Kai-Tai Fang's 80th birthday and research legacy in statistical science.

Covers multivariate analysis techniques and data mining methods applicable to computational biology, machine learning, finance, and neuroscience.

Features four review papers examining modern statistical theories and their development in contemporary research and applications.

Addresses the analytical challenges of big data with practical methods for handling massive dimensions and complex datasets.

Spans multiple scientific disciplines including information engineering, medicine, and social sciences with unified statistical approaches.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
23 May 2021
Listed Since
26 April 2021

Barcode

No barcode data available

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