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This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes.
This research monograph utilizes exact and Monte Carlo permutation statistical methods to generate probability values and measures of effect size for a variety of measures of association.
This volume introduces students to each phase of a typical data analysis project in the earth sciences, from preliminary research through data processing in MATLAB to presenting the results. It features numerous examples and tips on using internet resources.
The purpose of this book is to thoroughly prepare the reader for applied research in clustering. This book provides an accessible and comprehensive introduction to... Læs mere
This book presents various recently developed and traditional statistical techniques, which are increasingly being applied in social science research.
The studies discussed here seek to extract finite state models corresponding to goal models with the help of model... Læs mere
Covering recent advances in next-generation computing, the book focuses on recent developments in intelligent computing, such as linguistic computing, statistical computing, data computing and ambient applications.
Covering recent advances in next-generation computing, the book focuses on recent developments in intelligent computing, such as linguistic computing, statistical computing, data computing and ambient applications.
This book features selected papers from the 5th International Conference on Mathematics and Computing (ICMC 2019), organized by the School of Computer Engineering, Kalinga Institute of Industrial Technology Bhubaneswar, India, on February 6 – 9, 2019.
This book presents theoretical modeling and numerical simulations applied to drive several applications towards Industrial Revolution... Læs mere