Somesh Kumar – författare

This book combines the concept, practice and application of participatory rural appraisal (PRA) in a comprehensive manner. The author views PRA as a means of opening up new ways of approaching various problems within the development process.

This book discusses the topics presented at the 2nd Annual QEDS Conference on “Advances in Applied and Computational Mathematics: Theory, Methods, and Applications in Finance and Data Science (AACM 2025)”, organized by the Centre for Quantitative Economics and Data Science, Birla Institute of Technology Mesra, Ranchi, Jharkhand, India, from February 13–15, 2025. This book focuses on the convergence of applied and computational mathematics with finance, data science, and data-driven public policy. It highlights recent research contributions in areas such as mathematical optimization, simulation techniques, statistical modelling, and algorithmic developments, emphasizing their growing relevance in engineering, finance, and data science.Chapters in the book reflect both theoretical advancements and practical methodologies that address contemporary challenges in an increasingly data-centric world. This book is carefully curated for a broad readership, including researchers, industry professionals, and policy experts from diverse academic and professional backgrounds. It offers valuable insights for those seeking to deepen their understanding and remain current in rapidly evolving technological and analytical domains. For the academic community, this book serves as an essential resource for students, educators, and researchers in mathematics, statistics, data science, finance, and related fields.

This book contains select chapters on a range of topics in directional statistics, multivariate statistical inference, financial statistics, statistical machine learning and reliability inference. At the 43rd Annual Convention of the Indian Society for Probability and Statistics (ISPS) held in Prayagraj (formerly Allahabad), Uttar Pradesh, India, from 6–8 February 2024, attribute was paid to Prof. Ashis SenGupta on the occasion of his 70th birthday. He has pioneered research on directional statistics in the modern era in India and enhanced it worldwide and contributed significantly to the advancement of the following topics:Highly flexible distributions on manifoldsStatistical machine learning in data scienceBig data on manifoldsOptimal multiparameter, multivariate statistical inferenceReliability inference and stress-dependent-strength modelsDirectional statistics for highly volatile financial modelsCylindrical, spherical and toroidal regression analysisInnovative applications of emerging real-life directional data

This book contains select chapters on a range of topics in directional statistics, multivariate statistical inference, financial statistics, statistical machine learning and reliability inference. At the 43rd Annual Convention of the Indian Society for Probability and Statistics (ISPS) held in Prayagraj (formerly Allahabad), Uttar Pradesh, India, from 6–8 February 2024, attribute was paid to Prof. Ashis SenGupta on the occasion of his 70th birthday. He has pioneered research on directional statistics in the modern era in India and enhanced it worldwide and contributed significantly to the advancement of the following topics:

Highly flexible distributions on manifoldsStatistical machine learning in data scienceBig data on manifoldsOptimal multiparameter, multivariate statistical inferenceReliability inference and stress-dependent-strength modelsDirectional statistics for highly volatile financial modelsCylindrical, spherical and toroidal regression analysisInnovative applications of emerging real-life directional data

This book contains select chapters on a range of topics in directional statistics, multivariate statistical inference, financial statistics, statistical machine learning and reliability inference. At the 43rd Annual Convention of the Indian Society for Probability and Statistics (ISPS) held in Prayagraj (formerly Allahabad), Uttar Pradesh, India, from 6–8 February 2024, attribute was paid to Prof. Ashis SenGupta on the occasion of his 70th birthday. He has pioneered research on directional statistics in the modern era in India and enhanced it worldwide and contributed significantly to the advancement of the following topics:Highly flexible distributions on manifoldsStatistical machine learning in data scienceBig data on manifoldsOptimal multiparameter, multivariate statistical inferenceReliability inference and stress-dependent-strength modelsDirectional statistics for highly volatile financial modelsCylindrical, spherical and toroidal regression analysisInnovative applications of emerging real-life directional data