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Data Analysis and Applications 1: New and Classical Approaches

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  • Дата: 10-06-2019, 19:23
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Название: Data Analysis and Applications 1: New and Classical Approaches
Автор: Christos H. Skiadas, James R. Bozeman
Издательство: Wiley-ISTE
Год: 2019
Страниц: 272
Язык: английский
Формат: pdf (true)
Размер: 10.17 MB

The data analysis field has been continuously growing over recent decades following the wide applications of computing and data collection along with new developments in analytical tools. Therefore, the need for publications is evident. New publications appear as printed or e-books covering the need for information from all fields of science and engineering, thanks to the wide applicability of data analysis and statistics packages.

This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models, and techniques, along with appropriate applications.

Volume 1 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into three parts: Part 1 presents clustering and regression cases; Part 2 examines grouping and decomposition, GARCH and threshold models, structural equations, and SME modeling; and Part 3 presents symbolic data analysis, time series and multiple choice models, modeling in demography, and data mining.

Contents:


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