Description

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.

Data Analysis and Applications 1: Clustering and Regression, Modeling-estimating, Forecasting and Data Mining

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£138.95

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Hardback by Christos H. Skiadas , James R. Bozeman

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Short Description:

This series of books collects a diverse array of work that provides the reader with theoretical and applied information on... Read more

    Publisher: ISTE Ltd and John Wiley & Sons Inc
    Publication Date: 26/02/2019
    ISBN13: 9781786303820, 978-1786303820
    ISBN10: 1786303825

    Number of Pages: 288

    Non Fiction , Mathematics & Science , Education

    Description

    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.

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