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 $66
Printed Copy: US $47
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

Introduction

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.

Foreword

- Pp. i
R.S. Thakur
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Preface

- Pp. ii-iii (2)
Krishna Kumar Mohbey, Arvind Pandey and Dharmendra Singh Rajput
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List of Contributors

- Pp. iv
Krishna Kumar Mohbey, Arvind Pandey and Dharmendra Singh Rajput
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Data Analytics on Various Domains with Categorized Machine Learning Algorithms

- Pp. 1-18 (18)
R. Suguna and R. Uma Rani

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Quantifying Players’ Monopoly in a Cricket Team: An Application of Bootstrap Sampling

- Pp. 19-30 (12)
Bireshwar Bhattacharjee and Dibyojyoti Bhattacharjee

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On Mean Estimation Using a Generalized Class of Chain Type Estimator under Successive Sampling

- Pp. 31-46 (16)
Shashi Bhushan, Nishi Rastogi and Shailja Pandey

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Log Type Estimators of Population Mean Under Ranked Set Sampling

- Pp. 47-74 (28)
Shashi Bhushan and Anoop Kumar

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Analysis of Bivariate Survival Data using Shared Inverse Gaussian Frailty Models: A Bayesian Approach

- Pp. 75-88 (14)
Arvind Pandey, Shashi Bhushan, Lalpawimawha and Shikhar Tyagi

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An Efficient Approach for Weblog Analysis using Machine Learning Techniques

- Pp. 89-98 (10)
Brijesh Bakariya

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An Epidemic Analysis of COVID-19 using Exploratory Data Analysis Approach

- Pp. 99-111 (13)
Chemmalar Selvi G. and Lakshmi Priya G. G.

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Subject Index

- Pp. 112
Krishna Kumar Mohbey, Arvind Pandey and Dharmendra Singh Rajput
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