Predictive Statistics


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Predictive Statistics


Predictive Statistics

Author: Bertrand S. Clarke

language: en

Publisher: Cambridge University Press

Release Date: 2018-04-12


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A bold retooling of statistics to focus directly on predictive performance with traditional and contemporary data types and methodologies.

Predictive Analytics Using Statistics and Big Data: Concepts and Modeling


Predictive Analytics Using Statistics and Big Data: Concepts and Modeling

Author: Krishna Kumar Mohbey

language: en

Publisher: Bentham Science Publishers

Release Date: 2020-12-09


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This book presents a selection of the latest and representative developments in predictive analytics using big data technologies. It focuses on some critical aspects of big data and machine learning and provides studies for readers. The chapters address a comprehensive range of advanced data technologies used for statistical modeling towards predictive analytics. Topics included in this book include: - Categorized machine learning algorithms - Player monopoly in cricket teams. - Chain type estimators - Log type estimators - Bivariate survival data using shared inverse Gaussian frailty models - Weblog analysis - COVID-19 epidemiology This reference book will be of significant benefit to the predictive analytics community as a useful guide of the latest research in this emerging field.

Applied Predictive Analytics


Applied Predictive Analytics

Author: Dean Abbott

language: en

Publisher: John Wiley & Sons

Release Date: 2014-03-31


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Learn the art and science of predictive analytics — techniques that get results Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling. Hands-on examples and case studies are included. The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today This guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutions Explains methods, principles, and techniques for conducting predictive analytics projects from start to finish Illustrates each technique with hands-on examples and includes as series of in-depth case studies that apply predictive analytics to common business scenarios A companion website provides all the data sets used to generate the examples as well as a free trial version of software Applied Predictive Analytics arms data and business analysts and business managers with the tools they need to interpret and capitalize on big data.