Produktbild: Integrative Approaches to Quality, Data Analysis, and Interdisciplinary Research
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Integrative Approaches to Quality, Data Analysis, and Interdisciplinary Research

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

16.06.2026

Herausgeber

Amir Ahmad Dar + weitere

Verlag

Taylor & Francis

Seitenzahl

282

Maße (L/B/H)

22,9/15,2/1,8 cm

Gewicht

548 g

Sprache

Englisch

ISBN

978-1-77964-100-7

Beschreibung

Portrait

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.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

16.06.2026

Herausgeber

Verlag

Taylor & Francis

Seitenzahl

282

Maße (L/B/H)

22,9/15,2/1,8 cm

Gewicht

548 g

Sprache

Englisch

ISBN

978-1-77964-100-7

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Integrative Approaches to Quality, Data Analysis, and Interdisciplinary Research
  • 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