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This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. It provides details of how the probabilistic models of aircraft flight dynamics, satellite communication system measurements, environmental effects and radar data were constructed and calibrated. The probability distribution was
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An Introduction to Financial Mathematics

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Stochastic Limit Theory, published in 1994, has become a standard reference in its field. Now reissued in a new edition, offering updated and improved results and an extended range of topics, Davidson surveys asymptotic (large-sample) distribution theory with applications to econometrics, with particular emphasis on the problems of time dependence and heterogeneity. The book is designed to be ... En savoir plus

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Group inverses for singular M-matrices are useful tools not only in matrix analysis, but also in the analysis of stochastic processes, graph theory, electrical networks, and demographic models. Group Inverses of M-Matrices and Their Applications highlights the importance and utility of the group inverses of M-matrices in several application areas.
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Financial engineering has been proven to be a useful tool for risk management, but using the theory in practice requires a thorough understanding of the risks and ethical standards involved. Stochastic Processes with Applications to Finance, Second Edition presents the mathematical theory of financial engineering using only basic mathematical tools
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Collection series Springer Nature Proceedings excluding Computer Science
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Logistic Regression

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Logistic regression is one of the most widely used tools in statistical modelling, yet the gap between textbook theory and real-world practice remains a persistent challenge for students, researchers, and practitioners alike. This book bridges that gap with a comprehensive, hands-on guide to binary outcome modelling that goes well beyond the basics.Built on a foundation of rigorous statistical
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Semi-Markov Models

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par Yuriy E Obzherin, Elena G Boyko ...

Featuring previously unpublished results, Semi-Markov Models: Control of Restorable Systems with Latent Failures describes valuable methodology which can be used by readers to build mathematical models of a wide class of systems for various applications. In particular, this information can be applied to build models of reliability, queuing systems, and technical control. Beginning with a brief ... En savoir plus

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par Diplom-Mathematikerin Maja Glück ...

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Collection series Mathematics and Statistics (R0)
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