ItemBook

Sustainable Innovations in Statistics and Data Science

Title
Sustainable Innovations in Statistics and Data Science
Creator
Rajesh, R.; El-Ashmawi, Walaa H.; Al Husaini, Yousuf Nasser Said; Shenoi, Jeevanand Edavazhikkal Sarvothama
Description
Description: Sustainable innovations in statistics and data science are increasingly vital in tackling complex global challenges such as climate change, public health crises, and resource management. By developing and applying advanced analytical methods, these fields enable more efficient, equitable, and informed decision-making across sectors. Integrating sustainability into data practices ensures that technologies support long-term environmental, social, and economic goals. This intersection not only enhances the accuracy and relevance of insights but also promotes ethical data use aligned with global sustainability standards. Sustainable Innovations in Statistics and Data Science brings together cutting-edge research, methodologies, and applications that address sustainability challenges across various fields. It delves into insights, techniques, and case studies that drive sustainable outcomes in environmental science, healthcare, urban planning, and other critical areas. Covering topics such as air pollution, environmental science, and urban development, this book is an excellent resource for researchers, academicians, graduate and postgraduate students, data science and statistics practitioners, policymakers, government officials, industry leaders, innovators, educators, curriculum developers, and more. Coverage: The many academic areas covered in this publication include, but are not limited to: Air Pollution Artificial Intelligence (AI) Cardiovascular Health Climate Change Corporate Social Responsibility (CSR) Data Science Environmental Science Geometric Distribution Healthcare Quality Control Smart Cities Statistics Sustainable Innovation Urban Analytics Urban Development. 2026 by IGI Global Scientific Publishing. All rights reserved.
Source
Sustainable Innovations in Statistics and Data Science;pp.1-360
Date
01-01-2026
Publisher
IGI Global
Coverage
Rajesh R., Department of Statistics and Data Science, Christ University, India; El-Ashmawi W.H., Misr International University, Egypt; Al Husaini Y.N.S., Arab Open University, Oman; Shenoi J.E.S., Department of Statistics and Data Science, Christ University, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833731456-3; 979-833731454-9;
Format
online
Language
English
Type
Book

Citation

Rajesh, R.; El-Ashmawi, Walaa H.; Al Husaini, Yousuf Nasser Said; Shenoi, Jeevanand Edavazhikkal Sarvothama, “Sustainable Innovations in Statistics and Data Science,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/23865.

Output Formats