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Cause and Effect Business Analytics: For Big and Small Data: Chapman & Hall/CRC Computer Science & Data Analysis

Autor Dominique Haughton, Jonathan Haughton, Victor S. Y. Lo
en Limba Engleză Hardback – 15 feb 2027
Business analytics is the application of statistical and quantitative analysis, as well as formal modeling, to decision making. This book examines under what circumstances and with which techniques one can reasonably infer cause and effect in a business setting and use the insight to drive business decisions. The book is rooted in realistic and important cases used to illustrate the importance of thinking clearly about causality and applying the techniques of business analytics.
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Specificații

ISBN-13: 9781482216479
ISBN-10: 1482216477
Pagini: 300
Ilustrații: 100 Illustrations, black and white
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Computer Science & Data Analysis


Cuprins

Introduction to causal business analytics. Review of common statistical/econometric and data mining techniques. Causal inference I. Causal inference II. Uplift (aka True-lift) analytics I. Uplift analytics II. Treatment optimization. Uplift analytics for non-random experiments. Causal analytics in time series I. Causal analytics in time series II. Structural Equation Modeling (SEM). Discussion and Summary.