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Springer Models for Data Analysis: SIS 2018 Springer Proceedings

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Description

Models for Data Analysis captures cutting-edge research presented at the Statistical Societies International Seminar held in Palermo, Italy from June 20-22, 2018. This volume, part of Springer's Proceedings in Mathematics & Statistics series (number 402), brings together scholarly contributions on advanced analytical methods and data-driven approaches. Ideal for researchers, statisticians, and data professionals seeking to deepen their understanding of contemporary modelling techniques, this proceedings book documents key developments in computational statistics and mathematical methods for extracting insights from complex datasets. Whether you work in academia, industry, or research institutions, this comprehensive collection offers valuable perspectives on the latest methodologies shaping the field of data analysis.

Key Features

Springer Proceedings in Mathematics & Statistics volume 402, delivering peer-reviewed research from the June 2018 SIS conference in Palermo.

Covers advanced models and analytical methods across multiple disciplines in data science and statistics.

Authored by leading researchers and academics, providing authoritative insights into contemporary data analysis approaches.

Essential reference for statisticians, data scientists, and researchers developing or applying sophisticated analytical models.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
22 February 2024
Listed Since
26 January 2024

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