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From Theory to Practice

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This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools
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Series series Mathematics and Statistics (R0)
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This book presents a short introduction to continuous-time financial models. An overview of the basics of stochastic analysis precedes a focus on the Black–Scholes and interest rate models. Other topics covered include self-financing strategies, option pricing, exotic options and risk-neutral probabilities. Vasicek, Cox−Ingersoll−Ross, and Heath–Jarrow–Morton interest rate models are also explored
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Series Book 12 - SpringerBriefs in Mathematical Physics
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In this volume a theory for models of transport in the presence of a free boundary is developed.Macroscopic laws of transport are described by PDE's.When the system is open, there are several mechanisms to couple the system with the external forces. Here a class of systems where the interaction with the exterior takes place in correspondence of a free boundary is considered. Both continuous and
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Series Book 11 - SpringerBriefs in Mathematical Physics
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Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
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Series series Business and Management (R0)
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Series series Dover Books on Mathematics
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Series series Lecture Notes in Pure and Applied Mathematics
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Series series Life Science and Basic Disciplines (German Language)
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Stationary Stochastic Processes for Scientists and Engineers

by Georg Lindgren, Holger Rootzen, Maria Sandsten ...

Suitable for a one-semester course, this text teaches students how to use stochastic processes efficiently. Carefully balancing mathematical rigor and ease of exposition, the book provides students with a sufficient understanding of the theory and a practical appreciation of how it is used in real-life situations. Special emphasis is on the interpretation of various statistical models and concepts ... Read more

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Suitable for a one-semester course, this text teaches students how to use stochastic processes efficiently. Carefully balancing mathematical rigor and ease of exposition, the book provides students with a sufficient understanding of the theory and a practical appreciation of how it is used in real-life situations. Special emphasis is on the interpretation of various statistical models and concepts
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Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, uniquely emphasizes how probability informs statistical problems, thus helping readers develop an intuitive understanding of the statistical procedures commonly used by practicing engineers and scientists. Utilizing real data from actual studies across life science, engineering, computing and business, this ... Read more

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Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, uniquely emphasizes how probability informs statistical problems, thus helping readers develop an intuitive understanding of the statistical procedures commonly used by practicing engineers and scientists. Utilizing real data from actual studies across life science, engineering, computing and business, this
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Series Book 44 - Handbook of Statistics
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Data Science: Theory and Applications, Volume 44 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of interesting topics, including Modeling extreme climatic events using the generalized extreme value distribution, Bayesian Methods in Data Science, Mathematical Modeling in Health Economic Evaluations, Data
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Recommended For You

Probability eBooks

Decision Making under Deep Uncertainty

Measure Theory, Probability, and Stochastic Processes

Stochastic Models of Financial Mathematics

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Free Boundary Problems in PDEs and Particle Systems

Bessel Processes, Schramm–Loewner Evolution, and the Dyson Model

Let Us Use White Noise

Set-Indexed Martingales

Beyond The Triangle: Brownian Motion, Ito Calculus, And Fokker-planck Equation - Fractional Generalizations

Martingale Methods in Statistics

Variational Inequalities in Management Science and Finance

Some Recent Advances In Mathematics And Statistics - Proceedings Of Statistics 2011 Canada/imst 2011-fim Xx

Variational Calculus with Engineering Applications

Probabilistic Spiking Neuronal Nets

Stochastic Calculus

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Evolution Equations

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Introduction to Probability and Statistics for Engineers and Scientists

Data Science: Theory and Applications