Hardcover, xxx + 246 pages, NOT ex-library. Minor wear internally, book is clean and bright throughout, with unmarked text, free of inscriptions and stamps, firmly bound. Boards show rubbed tips of corners, short creases. Issued without a dust jacket.

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Detalles bibliogr�ficos

T�tulo: Data Analysis and Applications 1: Clustering and Regression, Modeling-estimating, Forecasting and Data Mining (Innovation, Entrepreneurship and Management Series / Big Data, Artificial Intelligence and Data Analysis Set, Volume 2)
Editor: Wiley-ISTE
Fecha de publicaci�n: 2019
Idioma: Ingl�s
ISBN 10: 1786303825
ISBN 13: 9781786303820
Encuadernaci�n: Hardcover
Edici�n: 1st Edition
Estado: Good

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Sinopsis

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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Christos H. Skiadas is the Founder and former Director of the Data Analysis and Forecasting Laboratory at the Technical University of Crete, Greece. He continues his work at the university at the ManLab in the Department of Production Engineering and Management.

James R. Bozeman holds a PhD in Mathematics from Dartmouth College, USA, and is Professor of Mathematics at the American University of Malta.

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