Математика

A comprehensive introduction to the theory and practice of contemporary data science analysis for railway track engineering Featuring a practical intr…

This book presents basic stochastic processes, stochastic calculus including Lévy processes on one hand, and Markov and Semi Markov models on the othe…

HIGHLIGHTS THE USE OF BAYESIAN STATISTICS TO GAIN INSIGHTS FROM EMPIRICAL DATA Featuring an accessible approach, Bayesian Methods for Management and B…

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…

A beginner’s guide to stochastic growth modeling The chief advantage of stochastic growth models over deterministic models is that they combine both d…

Credit risk is one of the most important contemporary problems for banks and insurance companies. Indeed, for banks, more than forty percent of the eq…

Biplots are a graphical method for simultaneously displaying two kinds of information; typically, the variables and sample units described by a multiv…

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…

Illustrates how R may be used successfully to solve problems in quantitative finance Applied Probabilistic Calculus for Financial Engineering: An Intr…

Praise for the First Edition “…extremely well written…a comprehensive and up-to-date overview of this important field.” – Journal of Environmental Qua…

In 1989 the first edition of this book set out Gittins' pioneering index solution to the multi-armed bandit problem and his subsequent investigation o…

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…

COVERS THE FUNDAMENTAL TOPICS IN MATHEMATICS, STATISTICS, AND FINANCIAL MANAGEMENT THAT ARE REQUIRED FOR A THOROUGH STUDY OF FINANCIAL MARKETS This co…

Presents new models, methods, and techniques and considers important real-world applications in political science, sociology, economics, marketing, an…

Provides well-organized coverage of statistical analysis and applications in biology, kinesiology, and physical anthropology with comprehensive insigh…

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…

Praise for the Second Edition «An amazing assemblage of worldwide contributions in mathematics and, in addition to use as a course book, a valuable re…

This accessible new edition explores the major topics in Monte Carlo simulation that have arisen over the past 30 years and presents a sound foundatio…

Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentat…

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…

An accessible introduction to the fundamentals of calculus needed to solve current problems in engineering and the physical sciences I ntegration is a…

This book is the first of a set dedicated to the mathematical tools used in partial differential equations derived from physics. Its focus is on norme…

A well-balanced and accessible introduction to the elementary quantitative methods and Microsoft® Office Excel® applications used to guide business de…

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…

Praise for the Second Edition “This book should be an essential part of the personal library of every practicing statistician.”—Technometrics Thorough…

This book is based on a lecture course to students specializing in the safety of technological processes and production. The author focuses on three m…

Features new results and up-to-date advances in modeling and solving differential equations Introducing the various classes of functional differential…

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…

Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing. This book discusses recent developments of MCMC methods…

A clear and efficient balance between theory and application of statistical modeling techniques in the social and behavioral sciences Written as a gen…

“Degradation process” refers to many types of reliability models, which correspond to various kinds of stochastic processes used for deterioration mod…

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…

A unique guide to using both modeling and simulation in digital systems design Digital systems design requires rigorous modeling and simulation analys…

First issued in translation as a two-volume work in 1975, this classic book provides the first complete development of the theory of probability from …

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…