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

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

2019-05-21
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Details
  • Title: Data Analysis and Applications 1: Clustering and Regression, Modeling-estimating, Forecasting and Data Mining
  • Author: ,
  • Length: 286 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2019-05-21
  • ISBN-10: 1786303825
  • ISBN-13: 9781786303820
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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