000			01531nam a2200229 4500
005			20250717121046.0
008			250716b2019|||||||| |||| 00| 0 eng d
020			_a9781119597575
041			_aEnglish
082			_a001.42
100			_aSkiadas, Christos H. _eEditors _96794
100			_aBozeman, James R. _eCo-Editors _96795
245			_aData analysis and applications 1: clustering and regression, modeling-estimating, forecasting and data mining
260			_aNew Jersey: _bWiley Data and Cybersecurity, _c2019.
300			_axxix, 246p.
500			_aThis 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.
650			_aMeasurement of Clustering Characteristics _96796
650			_aClustering of Sensor Network Data _96797
650			_aLinear Approximation of TAR Models _96798
856			_uhttps://ieeexplore.ieee.org/servlet/opac?bknumber=9820840
942			_cEB
999			_c1683 _d1683