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A logical problem-based introduction to the use of GeoGebra for mathematical modeling and problem solving within various areas of mathematics A well-o…

An introduction to stochastic processes through the use of R Introduction to Stochastic Processes with R is an accessible and well-balanced presentati…

The Dirichlet distribution appears in many areas of application, which include modelling of compositional data, Bayesian analysis, statistical genetic…

This book provides a thorough analysis of internal rating systems. Two case studies are devoted to building and validating statistical-based models fo…

This Series provides the necessary elements to the development and validation of numerical prediction models for hydrodynamic bearings. This book is d…

Features the techniques, methods, and applications of calculus using real-world examples from business and economics as well as the life and social sc…

A comprehensive approach to numerical partial differential equations Spline Collocation Methods for Partial Differential Equations combines the colloc…

Mark H.A. Davis introduced the Piecewise-Deterministic Markov Process (PDMP) class of stochastic hybrid models in an article in 1984. Today it is used…

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of…

A comprehensive introduction to bootstrap methods in the R programming environment Bootstrap methods provide a powerful approach to statistical data a…

Praise for the Third Edition «. . . guides and leads the reader through the learning path . . . [e]xamples are stated very clearly and the results are…

Presents information sources and methodologies for modeling and simulating banking system stability Combining both academic and institutional knowledg…

Probability and Conditional Expectations bridges the gap between books on probability theory and statistics by providing the probabilistic concepts es…

This Series provides the necessary elements to the development and validation of numerical prediction models for hydrodynamic bearings. This book desc…

Praise for the Third Edition “Researchers of any kind of extremal combinatorics or theoretical computer science will welcome the new edition of this b…

Whilst innovation remains of course an approach, a process, and is still often even reduced to a set of results, it essentially reflects a way of thin…

Geo-mathematical modelling: models from complexity science Sir Alan Wilson, Centre for Advanced Spatial Analysis, University College London Mathematic…

A timely collection of advanced, original material in the area of statistical methodology motivated by geometric problems, dedicated to the influentia…

A new and unique way of understanding the translation of concepts and natural language into mathematical expressions Transforming a body of text into …

This book is a new edition of a title originally published in1992. No other book has been published that treats inverse spectral and inverse scatterin…

Introducing a revolutionary new model for the statistical analysis of experimental data In this important book, internationally acclaimed statistician…

This book is the first of a series of volumes that cover the topic of aerospace actuators following a systems-based approach. This first volume provid…

Presents an introduction to differential equations, probability, and stochastic processes with real-world applications of queues with delay and delaye…

Features a solid foundation of mathematical and computational tools to formulate and solve real-world ODE problems across various fields With a step-b…

This book is devoted to the problems of construction and application of chi-squared goodness-of-fit tests for complete and censored data. Classical ch…

Features a broad introduction to recent research on Turing’s formula and presents modern applications in statistics, probability, information theory, …

Features a practical approach to the analysis of biomedical data via mathematical methods and provides a MATLAB® toolbox for the collection, visualiza…

This book provides a comprehensive and up to date treatment of theory and practical implementation in Register-based statistics. It begins by defining…

This book explores two combined approaches (strategy and accounting) from a cross-disciplinary perspective in order to improve knowledge of value crea…

The application of Bayesian Networks (BN) or Dynamic Bayesian Networks (DBN) in dependability and risk analysis is a recent development. A large numbe…

An up-to-date version of the complete, self-contained introduction to matrix analysis theory and practice Providing accessible and in-depth coverage o…

Since mathematical models express our understanding of how nature behaves, we use them to validate our understanding of the fundamentals about systems…

An insightful guide to understanding and visualizing multivariate statistics using SAS®, STATA®, and SPSS® Multivariate Analysis for the Biobehavioral…

A comprehensive account of the theory and application of Monte Carlo methods Based on years of research in efficient Monte Carlo methods for estimatio…

The author investigates the Cramer –Lundberg model, collecting the most interesting theorems and methods, which estimate probability of default for a …

A valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author, Foundations of Linear and …

Praise for the Third Edition “This volume is ground-breaking in terms of mathematical texts in that it does not teach from a detached perspective, but…

In recent years, the theory has become widely accepted and has been further developed, but a detailed introduction is needed in order to make the mate…

Earthquake Occurrence provides the reader with a review of algorithms applicable for modeling seismicity, such as short-term earthquake clustering and…

Features an integrated approach of statistical scenarios and simulations to aid readers in developing key intuitions needed to understand the wide ran…

A comprehensive and accessible presentation of probability and stochastic processes with emphasis on key theoretical concepts and real-world applicati…

Features an authentic and engaging approach to mathematical modeling driven by real-world applications With a focus on mathematical models based on re…

Features recent advances and new applications in graph edge coloring Reviewing recent advances in the Edge Coloring Problem, Graph Edge Coloring: Vizi…

Explores the emerging subject of epidemic dynamics on complex networks, including theories, methods, and real-world applications Throughout history ep…

This book studies methods to concretely address inverse problems. An inverse problem arises when the causes that produced a given effect must be deter…