Integrative Approaches to Quality, Data Analysis, and Interdisciplinary Research

Amir Ahmad Dar

ISBN 10: 1779641001 / ISBN 13: 9781779641007

Published by Apple Academic Press Jun 2026, 2026

About this Item

Neuware - 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.

Seller Inventory # 9781779641007

Bibliographic Details

• Title: Integrative Approaches to Quality, Data Analysis, and Interdisciplinary Research
• Publisher: Apple Academic Press Jun 2026
• Publication Date: 2026
• Language: English
• ISBN 10: 1779641001
• ISBN 13: 9781779641007
• Binding: Buch
• Condition: Neu
• Dimensions: 229W x 152H x 18D millimeters 229 millimeters width by 152 millimeters height by 18 millimeters depth
• Weight: 544 grams

About this title

Synopsis

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.

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.