Offering a wide range of case studies, this new book highlights the practical applications of integrating quality management, data analysis, and multidisciplinary research for solving urgent environmental challenges, improving public health and company operations, and more. By bridging the gap between theory and practice, it emphasizes the transformative power of data and interdisciplinary approaches in addressing complex challenges and driving innovation.
This book highlights many methods and applications for data analysis and interdisciplinary research, including various statistical methods, CUSUM (Cumulative Sum) control charts, Poisson distribution models, the Bayesian approach, software programs like Mathematica, machine learning algorithms, big data, and more. The book applies data analysis approaches in addressing complex challenges in many areas, including for environmental problems such as measuring air pollution; in socioeconomic issues like insurance costs and dynamics; in healthcare such as for analyzing epidemiological data (such as from the COVID-19 pandemic); in the agricultural sector, such as to understand and forecast agricultural trends and to enhance agricultural sustainability; and more.
Table of Contents:
Preface Introduction PART I: DATA-DRIVEN ANALYSIS IN VARIOUS SECTORS 1. Machine Learning Algorithms for Covid-19 Data Analysis with Python 2. Analysis of Air Pollution in Delhi Using Machine Learning Techniques 3. Modeling Socioeconomic and Regional Factors in the Nonlife Insurance Sector of India Through Regression Analysis 4. Quantitative Analysis of Healthcare Costs: Integrating Behavioral, Regional, and Demographic Factors 5. A Time-Series Analysis of Lemon Production in Ten Major Cities of India PART II: INTERDISCIPLINARY STUDIES IN AGRICULTURE, EDUCATION, AND HISTORY 6. Optimizing Water Management for Sustainable Agriculture: A Multidisciplinary Approach 7. Factor Analysis for Attention Deficit Hyperactivity Disorder Symptoms Questionnaires (Adult ADHD Self-Report Scale V1.1) Among HEI Learners 8. History of Mathematics in Africa, from Ancient Mathematics to Modern Data Science: Africa Legacy and Future 9. Exploring Decentralized Inventory Strategies: A Study PART III: ADVANCED TECHNIQUES IN QUALITY AND RISK MANAGEMENT 10. Advancing Quality Management: Exploring the Power of CUSUM Control Charts in Process Monitoring and Improvement 11. Premium Precision: A Bayesian Approach Using Poisson and Exponential Models in Insurance Risk Assessment 12. Optimizing Supply Chain Efficiency with Mathematica Mathematical and Statistical Methods for Finite Planning Horizons Index
About the Author :
Amir Ahmad Dar, PhD, is an Assistant Professor in the Department of Statistics at Lovely Professional University in India. Dr. Dar has an impressive academic portfolio, having published research papers and book chapters. He has presented his work at national and international conferences. His research interests include actuarial statistics, experimental design, financial derivatives, and financial mathematics. He completed his BSc in Actuarial and Financial Mathematics at the Islamic University of Science and Technology in Awantipora, India. He pursued his MSc and PhD in Actuarial Science at B S Abdur Rahman University in Chennai, India.
Waseem Z. Lone, PhD, is currently a Research Associate at the Indian Institute of Technology, Patna, India. His research focuses on Fourier and wavelet analysis. He has published papers in various esteemed international journals. Dr. Lone also served as an Assistant Professor at Lovely Professional University, Punjab, India, and has been awarded a prestigious fellowship funded by the Council of Scientific & Industrial Research (CSIR), Government of India. He earned his master’s and PhD degrees in Mathematics from the University of Kashmir, India.
