Mathematical & statistical software books

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The History of MathematicsMathematics is not just a subject we learn in school; it is a powerful tool that has shaped...  Read More >>

Forecasting and Analytics with ADAM focuses on a time series model in Single Source of Error state space form, called...  Read More >>

This book aims to provide an advanced R software approach that can carry out rainfall trend analysis using Mann-Kendall...  Read More >>

This monograph highlights the connection between the theory of neutron transport and the theory of non-local branching...  Read More >>

Now in its second edition, this edited book presents recent progress and techniques in partial least squares path...  Read More >>

This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of...  Read More >>

This open access volume explains the foundations of modern solvers for ordinary differential equations (ODEs). Formulating...  Read More >>

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The book studies in detail the Poisson process, which is the most frequently applied stochastic process in a variety...  Read More >>

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Bayes Factors for Forensic Decision Analyses with R provides a self-contained introduction to computational Bayesian...  Read More >>

Master the art of machine learning and data science by diving into the essence of mathematical logic with this comprehensive...  Read More >>

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This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python...  Read More >>

This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects...  Read More >>

This book discusses modelling and analysis of Magnetic Resonance Imaging (MRI) data of the human brain.  Read More >>

Advance your knowledge of operations research and social good! Recent technological developments allow data analytics...  Read More >>

Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 41st IMAC, A Conference and Exposition...  Read More >>

This proceedings volume gathers selected, peer-reviewed papers presented at the 41st International Conference on...  Read More >>

This book provides an accessible introduction to causal inference and data analysis with R, specifically for a public...  Read More >>

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In this book, various numerical methods are discussed in a comprehensive way. It delivers a mixture of theory, examples...  Read More >>

It covers topics such as statistical process control, including multivariate methods, the design of experiments,...  Read More >>

Machine Learning Toolbox for Social Scientists covers predictive methods with complementary statistical ""tools""...  Read More >>