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Numerical Methods for Simulation and Optimization of Piecewise Deterministic Markov Processes. Application to Reliability
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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…
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Spline Collocation Methods for Partial Differential Equations. With Applications in R
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A comprehensive approach to numerical partial differential equations Spline Collocation Methods for Partial Differential Equations combines the colloc…
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Fundamentals of Calculus
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Features the techniques, methods, and applications of calculus using real-world examples from business and economics as well as the life and social sc…
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Bayesian Methods for Management and Business. Pragmatic Solutions for Real Problems
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HIGHLIGHTS THE USE OF BAYESIAN STATISTICS TO GAIN INSIGHTS FROM EMPIRICAL DATA Featuring an accessible approach, Bayesian Methods for Management and B…
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Probability. An Introduction with Statistical Applications
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Praise for the First Edition «This is a well-written and impressively presented introduction to probability and statistics. The text throughout is hig…
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Models for Life. An Introduction to Discrete Mathematical Modeling with Microsoft Office Excel
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Features an authentic and engaging approach to mathematical modeling driven by real-world applications With a focus on mathematical models based on re…
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Introduction to Stochastic Processes with R
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An introduction to stochastic processes through the use of R Introduction to Stochastic Processes with R is an accessible and well-balanced presentati…
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Mathematical Modeling. Applications with GeoGebra
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A logical problem-based introduction to the use of GeoGebra for mathematical modeling and problem solving within various areas of mathematics A well-o…
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Theory of Probability. A critical introductory treatment
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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 …
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Mixed Models. Theory and Applications with R
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Praise for the First Edition “This book will serve to greatly complement the growing number of texts dealing with mixed models, and I highly recommend…
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Dirichlet and Related Distributions. Theory, Methods and Applications
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The Dirichlet distribution appears in many areas of application, which include modelling of compositional data, Bayesian analysis, statistical genetic…
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Probability and Stochastic Processes
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A comprehensive and accessible presentation of probability and stochastic processes with emphasis on key theoretical concepts and real-world applicati…
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Degradation Processes in Reliability
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“Degradation process” refers to many types of reliability models, which correspond to various kinds of stochastic processes used for deterioration mod…
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Applied Univariate, Bivariate, and Multivariate Statistics
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A clear and efficient balance between theory and application of statistical modeling techniques in the social and behavioral sciences Written as a gen…
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Multivariate Time Series Analysis. With R and Financial Applications
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An accessible guide to the multivariate time series tools used in numerous real-world applications Multivariate Time Series Analysis: With R and Finan…
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Linear Algebra. Ideas and Applications
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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…
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Foundations of Linear and Generalized Linear Models
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A valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author, Foundations of Linear and …
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Functional Differential Equations. Advances and Applications
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Features new results and up-to-date advances in modeling and solving differential equations Introducing the various classes of functional differential…
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Reliability of Engineering Systems and Technological Risk
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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…
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Applied Linear Regression
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Praise for the Third Edition «…this is an excellent book which could easily be used as a course text…» —International Statistical Institute The Fourth…
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Nonlinear Regression Modeling for Engineering Applications. Modeling, Model Validation, and Enabling Design of Experiments
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Since mathematical models express our understanding of how nature behaves, we use them to validate our understanding of the fundamentals about systems…
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Matrix Analysis for Statistics
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An up-to-date version of the complete, self-contained introduction to matrix analysis theory and practice Providing accessible and in-depth coverage o…
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Introduction to Quantitative Methods in Business. With Applications Using Microsoft Office Excel
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A well-balanced and accessible introduction to the elementary quantitative methods and Microsoft® Office Excel® applications used to guide business de…
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Banach, Fréchet, Hilbert and Neumann Spaces
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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…
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Fourier Transforms. Principles and Applications
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Fourier Transforms: Principles and Applications explains transform methods and their applications to electrical systems from circuits, antennas, and s…
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Applied Mathematics for the Analysis of Biomedical Data. Models, Methods, and MATLAB
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Features a practical approach to the analysis of biomedical data via mathematical methods and provides a MATLAB® toolbox for the collection, visualiza…
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Statistical Implications of Turing's Formula
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Features a broad introduction to recent research on Turing’s formula and presents modern applications in statistics, probability, information theory, …
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Introduction to Statistical Analysis of Laboratory Data
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Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentat…
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Simulation and the Monte Carlo Method
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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…
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Growth Curve Modeling. Theory and Applications
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Features recent trends and advances in the theory and techniques used to accurately measure and model growth Growth Curve Modeling: Theory and Applica…
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Aerospace Actuators 1. Needs, Reliability and Hydraulic Power Solutions
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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…
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Advanced Analysis of Variance
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Introducing a revolutionary new model for the statistical analysis of experimental data In this important book, internationally acclaimed statistician…
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An Introduction to Statistical Analysis in Research. With Applications in the Biological and Life Sciences
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Provides well-organized coverage of statistical analysis and applications in biology, kinesiology, and physical anthropology with comprehensive insigh…
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Bayesian Inference in the Social Sciences
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Presents new models, methods, and techniques and considers important real-world applications in political science, sociology, economics, marketing, an…
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Probability. With Applications and R
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An introduction to probability at the undergraduate level Chance and randomness are encountered on a daily basis. Authored by a highly qualified profe…
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Approaches to Geo-mathematical Modelling. New Tools for Complexity Science
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Geo-mathematical modelling: models from complexity science Sir Alan Wilson, Centre for Advanced Spatial Analysis, University College London Mathematic…
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Innovation Capability Maturity Model
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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…
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Multi-armed Bandit Allocation Indices
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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…
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Exploration and Analysis of DNA Microarray and Other High-Dimensional Data
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Praise for the First Edition “…extremely well written…a comprehensive and up-to-date overview of this important field.” – Journal of Environmental Qua…
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Modeling and Simulation Support for System of Systems Engineering Applications
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“…a much-needed handbook with contributions from well-chosen practitioners. A primary accomplishment is to provide guidance for those involved in mode…
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Banking Systems Simulation. Theory, Practice, and Application of Modeling Shocks, Losses, and Contagion
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Presents information sources and methodologies for modeling and simulating banking system stability Combining both academic and institutional knowledg…
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An Introduction to Optimization
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Praise for the Third Edition «. . . guides and leads the reader through the learning path . . . [e]xamples are stated very clearly and the results are…
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Understanding Biplots
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Biplots are a graphical method for simultaneously displaying two kinds of information; typically, the variables and sample units described by a multiv…
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Semi-Markov Migration Models for Credit Risk
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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…
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Mathematical Foundations for Linear Circuits and Systems in Engineering
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Extensive coverage of mathematical techniques used in engineering with an emphasis on applications in linear circuits and systems Mathematical Foundat…
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