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Direction Dependence in Statistical Modeling

Covers the latest developments in direction dependence research Direction Dependence in Statistical Modeling: Methods of Analysis;

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Statistical Modeling Using Local Gaussian Approximation

Statistical Modeling using Local Gaussian Approximation extends powerful characteristics of the Gaussian distribution, perhaps, the;

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Elements of Copula Modeling with R

This book introduces the main theoretical findings related to copulas and shows how statistical modeling of multivariate continuous;

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Multivariate Models and Multivariate Dependence Concepts

This book on multivariate models, statistical inference, and data analysis contains deep coverage of multivariate non-normal distributions;

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Fundamental Aspects of Operational Risk and Insurance Analytics and Advances in Heavy Tailed Risk Modeling

Two cutting-edge guides for the theories, applications, and statistical methodologies essential to operational risk and heavy tailed risk;

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Monte-Carlo Simulation-Based Statistical Modeling

This book brings together expert researchers engaged in Monte-Carlo simulation-based statistical modeling, offering them a forum to present;

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Topics in Statistical Dependence

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Copulas for Risk Management

applications of copulas in risk management, offers a many-faceted comparison and discussions on dependence modeling, and suggests some directions for;

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Introduction to Bayesian Estimation and Copula Models of Dependence

, prediction, MCMC,Bayesian regression, and Bayesian analysis of statistical modelsof dependence, and features a focus on copulas for risk management;

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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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Dependence Modeling with Copulas

Dependence Modeling with Copulas covers the substantial advances that have taken place in the field ;...

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Dependence Modeling with Copulas

Dependence Modeling with Copulas covers the substantial advances that have taken place in the field ;...

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Energy Risk Modeling

Energy Risk Modeling is a primer on statistical methods for managers, students and anybody interested in the field. Illustrated through;

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Pricing Analytics

from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to get;

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Pricing Analytics

from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to;

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Statistical Modeling & Inference for Soc

Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for;

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Statistical Modeling and Inference for Social Science

Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for;

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Fundamental Aspects of Operational Risk and Insurance Analytics

A one-stop guide for the theories, applications, and statistical methodologies essential to operational risk Providing a complete;

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Multiscale Signal Analysis and Modeling

, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and;

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Multivariate Generalized Linear Mixed Models Using R

analysis techniques, this book explains the statistical theory and modeling involved in longitudinal studies. Many examples throughout the text;

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Statistical Modeling and Computation

This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical;

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Statistical Modeling in Biomedical Research

This edited collection discusses the emerging topics in statistical modeling for biomedical research. Leading experts in the frontiers;

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Modeling Hydrologic Change: Statistical Methods

within watersheds. An application-oriented text, Modeling Hydrologic Change: Statistical Methods provides a step-by-step presentation of modeling;

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Time Series and Spatial Analysis of Crop Yield

Space and time are often vital components of research data sets. Accounting for and utilizing the space and time information in statistical;

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Statistical Modeling in Biomedical Research: Contemporary Topics and Voices in the Field

This edited collection discusses the emerging topics in statistical modeling for biomedical research. Leading experts in the frontiers;

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Applied Statistical Modeling and Data Analytics

Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciencesprovides a practical guide to many;

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Long Memory in Economics

rates, etc. There is a huge statistical literature on long-memory processes, some of this research is highly technical, so that it is cited, but;

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