Математика

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…

Presents the methodology and applications of ODE and PDE models within biomedical science and engineering With an emphasis on the method of lines (MOL…

An authoritative introduction to efficiency and productivity analysis with applications in both the banking and finance industry In light of the recen…

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…

Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods Featuring a thoroug…

Modern science is at a tipping point. A new page in the history of knowledge opens with the “information paradigm”, a notion which is gradually suppla…

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…

This book is the second in a series of volumes which cover the topic of aerospace actuators following a systems-based approach. This second volume bri…

Provides a one-stop resource for engineers learning biostatistics using MATLAB® and WinBUGS Through its scope and depth of coverage, this book address…

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…

Praise for the First Edition «…a reference for everyone who is interested in knowing and handling uncertainty.» —Journal of Applied Statistics The cri…

A reference to answer all your statistical confidentiality questions. This handbook provides technical guidance on statistical disclosure control and …

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…

A broad introduction to PDEs with an emphasis on specialized topics and applications occurring in a variety of fields Featuring a thoroughly revised p…

Computational mechanics is the discipline concerned with the use of computational methods to study phenomena governed by the principles of mechanics. …

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 …

Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative analysis of …

An extensive update to a classic text Stochastic geometry and spatial statistics play a fundamental role in many modern branches of physics, materials…

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 fascinating and instructive guide to Markov chains for experienced users and newcomers alike This unique guide to Markov chains approaches the subje…

This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and truncated dat…

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…

Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how to characte…

Survival analysis concerns sequential occurrences of events governed by probabilistic laws. Recent decades have witnessed many applications of surviva…

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…

Presents an introduction to Bayesian statistics, presents an emphasis on Bayesian methods (prior and posterior), Bayes estimation, prediction, MCMC,Ba…

Praise for the First Edition «Stahl offers the solvability of equations from the historical point of view…one of the best books available to support a…

Written by a team of international experts, Extremes and Recurrence in Dynamical Systems presents a unique point of view on the mathematical theory of…