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  • Large-Scale Inverse Problems and Quantification of Uncertainty

    Collections Livre 712 - Wiley Series in Computational Statistics
    This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances for approximation methods are discussed, along with Kalman filtering methods and optimization-based approaches to solving inverse problems. The aim is to cross-fertilize the perspectives of researchers ... En savoir plus

    $171.99 CAD

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  • Probability: A Very Short Introduction

    A Very Short Introduction

    par John Haigh ...
    Collections series Very Short Introductions
    Making good decisions under conditions of uncertainty - which is the norm - requires a sound appreciation of the way random chance works. As analysis and modelling of most aspects of the world, and all measurement, are necessarily imprecise and involve uncertainties of varying degrees, the understanding and management of probabilities is central to much work in the sciences and economics.In this ... En savoir plus

    $11.99 CAD

  • A Mathematician Reads the Newspaper

    John Allen Paulos is a master at shedding mathematical lights on our everyday world:What exactly did Lani Guinier say about quotas?What is the probability of identifying a murderer through DNA testing?Which are the real risks to our health and which the phony ones?Employing the same fun-filled, user-friendly, and quirkily insightful approach that put Innumeracy on best-seller lists, Paulos now ... En savoir plus

    Prix courant $15.99 CAD Maintenant $2.99 CAD

  • Applied Longitudinal Data Analysis

    Modeling Change and Event Occurrence

    Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways, the elderly become frail and forgetful. Beyond these natural processes and events, external forces and interventions instigate and disrupt change: test scores may rise after a coaching course, drug abusers may remain abstinent after residential treatment. By charting ... En savoir plus

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  • Digital Dice

    Computational Solutions to Practical Probability Problems

    par Paul J. Nahin ...
    Some probability problems are so difficult that they stump the smartest mathematicians. But even the hardest of these problems can often be solved with a computer and a Monte Carlo simulation, in which a random-number generator simulates a physical process, such as a million rolls of a pair of dice. This is what Digital Dice is all about: how to get numerical answers to difficult probability ... En savoir plus

    $30.99 CAD

  • Probability with Martingales

    par David Williams ...
    Probability theory is nowadays applied in a huge variety of fields including physics, engineering, biology, economics and the social sciences. This book is a modern, lively and rigorous account which has Doob's theory of martingales in discrete time as its main theme. It proves important results such as Kolmogorov's Strong Law of Large Numbers and the Three-Series Theorem by martingale techniques, ... En savoir plus

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  • Applied Time Series Econometrics

    Collections series Themes in Modern Econometrics
    Time series econometrics is a rapidly evolving field. Particularly, the cointegration revolution has had a substantial impact on applied analysis. Hence, no textbook has managed to cover the full range of methods in current use and explain how to proceed in applied domains. This gap in the literature motivates the present volume. The methods are sketched out, reminding the reader of the ideas ... En savoir plus

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  • Convergence of Probability Measures

    Collections series Wiley Series in Probability and Statistics
    A new look at weak-convergence methods in metric spaces-from a master of probability theory In this new edition, Patrick Billingsley updates his classic work Convergence of Probability Measures to reflect developments of the past thirty years. Widely known for his straightforward approach and reader-friendly style, Dr. Billingsley presents a clear, precise, up-to-date account of probability limit ... En savoir plus

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  • Optimization

    par Kenneth Lange ...
    Collections series Mathematics and Statistics (R0)
    Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically. This introduction to optimization attempts to strike a balance between presentation of mathematical theory and development of numerical algorithms. Building on students’ skills in calculus and linear algebra, the text provides a rigorous exposition ... En savoir plus

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  • Introduction to Probability and Statistics for Engineers

    par Milan Holický ...
    The theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertainties affecting performance of complex technological systems. Fundamental concepts and procedures used in analysis of these systems are often based on the theory of probability and mathematical ... En savoir plus

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  • Econometric Analysis of Carbon Markets

    The European Union Emissions Trading Scheme and the Clean Development Mechanism

    Collections series Economics and Finance (R0)
    Through analysis of the European Union Emissions Trading Scheme (EU ETS) and the Clean Development Mechanism (CDM), this book demonstrates how to use a variety of econometric techniques to analyze the evolving and expanding carbon markets sphere, techniques that can be extrapolated to the worldwide marketplace. It features stylized facts about carbon markets from an economics perspective, as well ... En savoir plus

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  • Analysis and Modeling of Complex Data in Behavioral and Social Sciences

    Collections series Springer Nature Proceedings excluding Computer Science
    This volume presents theoretical developments, applications and computational methods for the analysis and modeling in behavioral and social sciences where data are usually complex to explore and investigate. The challenging proposals provide a connection between statistical methodology and the social domain with particular attention to computational issues in order to effectively address ... En savoir plus

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