Data Analysis and Applications: Clustering and Regression, Modeling-estimating, Forecasting and Data Mining
Christos H. Skiadas, James R. Bozeman
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.
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.
Категорії:
Рік:
2019
Видавництво:
Iste/Hermes Science Pub
Мова:
english
Сторінки:
246
ISBN 10:
1786303825
ISBN 13:
9781786303820
Серії:
Innovation, Entrepreneurship and Management Series: Big Data, Artificial Intelligence and Data Analysis Set
Файл:
PDF, 6.67 MB
IPFS:
,
english, 2019