Editors: Krishna Kumar Mohbey, Arvind Pandey, Dharmendra Singh Rajput

Predictive Analytics Using Statistics and Big Data: Concepts and Modeling

eBook: US $39 Special Offer (PDF + Printed Copy): US $47
Printed Copy: US $66
Library License: US $156
ISBN: 978-981-14-9051-4 (Print)
ISBN: 978-981-14-9049-1 (Online)
Year of Publication: 2020
DOI: 10.2174/97898114904911200101


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.


Big data analytics started receiving increasing attention a few years ago. It all began by exploring how to deal with the increasing volume, variety, and velocity of the data. Today, developing effective and efficient approaches, algorithms, and frameworks are used as they are essential to deal with such data.

Earlier, data were limited, and experiments were also performed for limited scopes. With the advent of big data, internet technologies, massive information, and predictive analytics problems have exploded in complexity and behavior. There are increasing challenges in the area of data storage, management, and computations. There is a need to combine various researches related to big data technologies, statistics, and predictive analytics into a single volume. The proposed eBook addresses a comprehensive range of advanced topics in big data technologies with statistical modeling towards predictive analytics. This book will be of significant benefit to the community as a useful guide of the latest research in this emerging field, i.e., predictive analytics. This ebook will help the studies in this field finding relevant information in one place.

R.S. Thakur
Maulana Azad National Institute of Technology


.An Introduction to Sobolev Spaces.
.Exterior Calculus: Theory and Cases.
.Trefftz and Fundamental Solution-Based Finite Element Methods.
.The Generalized Relative Gol’dberg Order and Type: Some Remarks on Functions of Complex Variables.