Data analysis and applications 1: clustering and regression, modeling-estimating, forecasting and data mining
Material type:
TextLanguage: English Publication details: New Jersey: Wiley Data and Cybersecurity, 2019. Description: xxix, 246pISBN: 9781119597575Subject(s): Measurement of Clustering Characteristics | Clustering of Sensor Network Data | Linear Approximation of TAR ModelsDDC classification: 001.42 Online resources: Click here to access online
| Item type | Current library | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| e-Books | Dr. S. R. Ranganathan Library Ebook (Online Access) | 001.42 (Online Access) (Browse shelf(Opens below)) | Available | EB0111 |
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.