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Springer Statistical Models for Data Analysis - Springer Classification

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Description

Statistical Models for Data Analysis brings together peer-reviewed research from the Italian Classification and Data Analysis Group (CLADAG), presenting novel statistical models and practical solutions for contemporary data analysis challenges. This volume, part of the Studies in Classification, Data Analysis, and Knowledge Organization series, features contributions from leading researchers who detail explicit model derivations and real-world implementations. Ideal for statisticians, data analysts, and academics, the book addresses key problems in statistical methodology whilst maintaining rigorous academic standards. Published by Springer, it serves as a comprehensive resource for understanding advanced statistical techniques and their application to complex datasets.

Key Features

Peer-reviewed proceedings from the biannual CLADAG conference, ensuring high-quality research contributions to statistical modelling.

Detailed derivations of novel statistical models with practical implementation guidance for real-world data analysis applications.

Part of the Studies in Classification, Data Analysis, and Knowledge Organization series from Springer, covering contemporary analytical methods.

Assembled by the Italian Classification and Data Analysis Group, a section of the Italian Statistical Society with established expertise.

Solutions to relevant statistical problems that advance knowledge in data analysis methodology and classification techniques.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
11 July 2013
Listed Since
18 January 2013

Barcode

No barcode data available

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