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Springer Statistical Models for Data Analysis Book

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Description

Expand your expertise in data science with Statistical Models for Data Analysis. Published by Springer, this volume presents research focused on the development of novel statistical models designed for modern data analysis. It serves as a comprehensive resource for researchers and practitioners looking for practical solutions to complex statistical problems. The content includes the explicit derivation of proposed models alongside their implementation, providing a bridge between theoretical mathematics and real-world application. This book brings together selected and refereed proceedings from the biannual conference of the Italian Classification and Data Analysis Group (CLADAG), a specialized section of the Italian Statistical Society. Whether you are studying classification, data analysis, or knowledge organization, this collection offers high-quality, peer-reviewed insights into the latest advancements in the field.

Key Features

Covers the development of novel statistical models specifically designed for advanced data analysis tasks.

Provides explicit derivations of proposed models to ensure a deep understanding of the underlying mathematics.

Includes practical implementation details to help apply theoretical statistical models to actual data sets.

Features selected and refereed proceedings from the Italian Classification and Data Analysis Group (CLADAG) conferences.

Offers expert insights from the Italian Statistical Society to support studies in classification and knowledge organization.

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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