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Statistical Analysis of Extreme Values

sciences. This book provides a self-contained introduction to parametric modeling, exploratory analysis and statistical interference for extreme;

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An Introduction to Statistical Modeling of Extreme Values

examples, using genuine datasets, illustrate the various modeling procedures and a concluding chapter provides a brief introduction to a number;

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An Introduction to Statistical Modeling of Extreme Values

examples, using genuine datasets, illustrate the various modeling procedures and a concluding chapter provides a brief introduction to a number;

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Extreme Value Modeling and Risk Analysis

Extreme Value Modeling and Risk Analysis: Methods and Applications presents a broad overview of statistical modeling of extreme events;

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Dynamic Models for Volatility and Heavy Tails

returns typically exhibit heavy tails - that is, extreme values can occur from time to time - Andrew Harvey's new book shows how a small but;

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Dynamic Models for Volatility and Heavy Tails

returns typically exhibit heavy tails - that is, extreme values can occur from time to time - Andrew Harvey's new book shows how a small but;

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Optimal Portfolio Modeling

Optimal Portfolio Modeling is an easily accessible introduction to portfolio modeling for those who prefer an intuitive approach to this;

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Modeling of extreme events and stress testing analysis

In this book we estimated value at risk and return level using extreme value theory as an alternative mechanism to generate stress;

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An Introduction to Mathematical Modeling

* Statistical Mechanics presents an introduction to statistical mechanics of systems in thermodynamic equilibrium as well as continuum mechanics;

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Energy Risk Modeling

elementary and more advanced statistical Methods, it is primarily aimed at those individuals who need a gentle introduction in how to go about using;

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Extreme Values in Finance, Telecommunications, and the Environment

of attention from statistical and mathematical researchers. This book brings together world-recognized authorities in their respective fields to;

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Extreme Value Theory-based Methods for Visual Recognition

A common feature of many approaches to modeling sensory statistics is an emphasis on capturing the average. From early representations;

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Statistical Modeling and Computation

Modeling and Computation provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an;

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Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications

This volume of the Selected Papers from Portugal is a product of the Seventeenth Congress of the Portuguese Statistical Society, held at;

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Statistical Modeling by Wavelets

Brani Vidakovic answers in Statistical Modeling by Wavelets. Providing a much-needed introduction to the latest tools afforded statisticians by;

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Statistical Methods for Materials Science

researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to;

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Extremes In Random Fields

of increasingly complex data. The extreme values that emerge in the statistical analysis of complex data are often of particular interest. This book;

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Statistical Methods for Materials Science: The Data Science of Microstructure Characterization

researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to;

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Applied Univariate, Bivariate, & Multivariate Stat istics

and R contains an accessible introduction to statistical modeling techniques commonly used in the social and natural sciences. The text offers;

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Contemporary Bayesian and Frequentist Statistical Research Methods for Natural Resource Scientists

of these issues. Subsequent chapter coverage features:* An introduction to the fundamental concepts of Bayesian statistical analysis, including;

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Discrete Choice Modelling and Air Travel Demand

choice methods. This book provides an introduction to discrete choice models and uses extensive examples to illustrate how these models have been;

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Introduction to Time Series Modeling

phenomenon is an essential part of the statistical modeling, it is very important and useful to learn fundamental methods of time series modeling;

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Introduction to Hierarchical Bayesian Modeling for Ecological Data

Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian;

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Introduction to Hierarchical Bayesian Modeling for Ecological Data

Making statistical modeling and inference more accessible to ecologists and related scientists, Introduction to Hierarchical Bayesian;

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An Introduction to Statistical Methods and Data Analysis

Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Seventh Edition, provides a broad overview of statistical;

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An Introduction to Statistical Communication Theory

special functions, integrals, solutions of integral equations, and an extensive, updated bibliography by chapter, An Introduction to Statistical;

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Introduction to Statistical Pattern Recognition

This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a;

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