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The goal for this textbook is to complement the inquiry-based learning movement. According to the author, concepts... Read More >>
This book is devoted to the qualitative theory of boundary value problems on time scales. It summarizes the most... Read More >>
This book offers a problem-solving approach. The authors introduce a problem to help motivate the learning of a... Read More >>
Hybrids of the new approach with experimental design methodologies (response surface methodology, orthogonal experimental... Read More >>
The book exposes three alternative and competing approaches to uncertainty analysis in engineering. It is composed... Read More >>
Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks... Read More >>
This book focuses on four key issues that are crucial to achieving productivity and sustainability in the circular... Read More >>
This text presents statistical mechanics and thermodynamics as a theoretically integrated field of study. It stresses... Read More >>
Taking an amusing and digestible look at the usually dry world of probability and statistics, this is the ultimate... Read More >>
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Derzeit wird kaum noch ernsthaft bestritten, dass die Daten eines Unternehmens ein wichtiges Wirtschaftsgut darstellen... Read More >>
This report presents the results of analyses to determine characteristics of the most-productive recruiters, where... Read More >>
An engaging, problem-based approach that tackles real-world issues Read More >>
Compound Poisson Approximation appears naturally in situations where one deals with a large number of rare events.... Read More >>
Tracing its roots back to World War II, Operations Research (OR) has become a vital tool in military and defense... Read More >>
There is a distinction between the Ginibre ensemble with complex entries (GinUE) and those with real or quaternion... Read More >>
This book constitutes the refereed proceedings of the 8th International Conference on Belief Functions, BELIEF 2024,... Read More >>
This book provides several efficient Kalman filters (linear or nonlinear) under information theoretic criteria.... Read More >>
The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and... Read More >>
In this book, epidemiology and public health are integrated with spatial data science to examine health issues in... Read More >>
This book constitutes the proceedings of the 26th International Conference on Big Data Analytics and Knowledge Discovery,... Read More >>
Researchers in behavior metrics have developed, extended, and improved methods such as multivariate statistical... Read More >>
This book provides new theoretic and applied material with focus on quantitative methods and data analysis techniques... Read More >>