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Sidney Resnick
The Art of Finding Hidden Risks

This text gives a comprehensive, largely self-contained treatment of multivariate heavy tail analysis. Emphasizing regular variation of measures means theory can be presented systematically and without re…

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Steven T. Hackman, Antonius B. Dieker
QPLEX: A Computational Modeling and Analysis Methodology for Stochastic Systems

This book introduces QPLEX, a powerful computational framework designed for modeling and analyzing nonstationary stochastic systems with large state spaces. The methodology excels at rapidly and accuratel…

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Eleuterio F. Toro
Computational Algorithms for Shallow Water Equations

This book is a thoroughly revised and enlarged version of ¿Shock-capturing methods for free-surface shallow flows", first published by Wiley and Sons, 2001. The book describes mathematically free-sur…

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Tomasz Rychlik, Narayanaswamy Balakrishnan
Sharp Inequalities for Ordered Random Variables in Statistics and Reliability

The book discusses various inequalities and sharp bounds for the usual order statistics as well as some functions of them. In particular, deterministic bounds, bounds for the case of IID samples from gene…

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Josafhat Salinas Ruíz, Jose Crossa, Osval Antonio Montesinos López
Introduction to Experimental Designs with PROC GLIMMIX of SAS

In this book, the subject of design and analysis of experiments has been covered in simple language by giving basic concepts of various designs and essential data analysis steps of designed experiments. I…

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Frontiers in Computational Fluid-Structure Interaction and Flow Simulation

Computational fluid-structure interaction (FSI) and flow simulation are challenging research areas that bring solution and analysis to many classes of problems in science, engineering, and technology. You…

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Agnes Baran, Gisbert Stoyan
Elementary Numerical Mathematics for Programmers and Engineers

This book covers the basics of numerical methods. Avoiding the definition-theorem-proof style, it instead focuses on numerical examples and simple pseudo-codes.The text begins with a chapter on floating p…

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Constantino Antonio García Martínez, Abraham Otero Quintana, Xosé A. Vila, Arturo José Méndez Penín
Heart Rate Variability Analysis with the R package RHRV

This book introduces readers to the fundamental concepts of Heart Rate Variability (HRV) and its most important analysis algorithms using a hands-on approach based on the open-source RHRV software. HRV re…

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Damiano Rossello
A Cookbook with Probability One

This book offers accessible probabilistic modelling of relevant financial problems. It is divided into two parts. The first part (cookbook) is written by emphasizing the key definitions and theorems witho…

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Anatoliy Swishchuk, Nikolaos Limnios
Discrete-Time Semi-Markov Random Evolutions and Their Applications

This book extends the theory and applications of random evolutions to semi-Markov random media in discrete time, essentially focusing on semi-Markov chains as switching or driving processes. After giving …

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Sedentary Behaviour Epidemiology

This book addresses the origins, determinants and magnitude of the global problem of sedentary behaviour, along with concise yet in-depth solutions for tackling it.As a consequence of major technological …

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Jordan Smoller, Sylvia Wassertheil-Smoller
Biostatistics and Epidemiology

This book teaches foundations of epidemiological design and statistical methods, as well as including topics applicable to new areas of research. Since the publication of the first edition, Biostatistics …

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Stefan Schäffler
Mathematics of Information

Starting with the Shannon-Wiener approach to mathematical information theory, allowing a mathematical "measurement" of an amount of information, the book begins by defining the terms message and…

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Edward C. Waymire, Rabi Bhattacharya
Continuous Parameter Markov Processes and Stochastic Differential Equations

This graduate text presents the elegant and profound theory of continuous parameter Markov processes and many of its applications. The authors focus on developing context and intuition before formalizing …

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Krishna Garikipati
Data-driven Modelling and Scientific Machine Learning in Continuum Physics

This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science¿specifically in continuum physics. It develops the foundations and details a num…

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Multiscale, Nonlinear and Adaptive Approximation II

This book presents a collection of high-quality papers in applied and numerical mathematics, as well as approximation theory, all closely related to Wolfgang Dahmen¿s scientific contributions. Compiled in…

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Theory and Applications of Time Series Analysis

This book presents the latest developments in the theory and applications of time series analysis and forecasting. Comprising a selection of refereed papers, it is divided into several parts that address …

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Lothar Sachs, Jürgen Hedderich
Applied Statistics

This standard work on statistical methods in life sciences and medicine provides easily understandable, illustrative, and practical guidance to students, lecturers and practitioners alike, covering all ne…

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Nonparametric Bayesian Inference

This book is a compilation of unpublished papers written by Jean-Marie Rolin (with several co-authors) on nonparametric bayesian estimation. Jean-Marie was professor of statistics at University of Louvain…

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Statistical Methods at the Forefront of Biomedical Advances

This book presents novel statistics methods and reproducible software that helps to solve challenging problems in biomedicine. Specifically, it consists of a collection of 11 chapters contributed by some …

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