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Statistical Analysis of Extreme Values

Statistical analysis of extreme data is vital to many disciplines including hydrology, insurance, finance, engineering and environmental;

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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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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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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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Statistics of Extremes

Research in the statistical analysis of extreme values has flourished over the past decade: new probability models, inference and data;

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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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An Introduction to Statistical Modeling of Extreme Values

the statistical inferential techniques for using these models in practice. Intended for statisticians and non-statisticians alike, the;

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An Introduction to Statistical Modeling of Extreme Values

the statistical inferential techniques for using these models in practice. Intended for statisticians and non-statisticians alike, the;

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Climate Time Series Analysis

, spectral analysis, extreme values and correlation. This book is written for climatologists and applied statisticians. It explains step by step;

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Statistical Analysis with Missing Data

Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current;

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Improved Understanding of Past Climatic Variability from Early Daily European Instrumental Sources

certain aspects of the distribution of extreme values change, while the mean does not. Katz and Brown (1992), for example, show from a theoretical;

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Spatiotemporal Analysis of Extreme Hydrological Events

Spatio-temporal Analysis of Extreme Hydrological Events offers an extensive view of the experiences and applications of the latest;

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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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Modeling of extreme events and stress testing analysis

can be used to create values for sensitivity test purpose.;

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Data Analysis for the Life Sciences with R

include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.;

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Data Analysis for the Life Sciences with R

include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.;

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Robustness and Complex Data Structures

for time series and regression analysis, and with statistical methods for complex data structures. The individual contributions of leading;

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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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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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Statistical Techniques for Data Analysis

. Valuable to everyone who produces, uses, or evaluates scientific data, Statistical Techniques for Data Analysis, Second Edition provides;

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Statistical Techniques for Data Analysis, Second Edition

. Valuable to everyone who produces, uses, or evaluates scientific data, Statistical Techniques for Data Analysis, Second Edition provides;

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Analysis of Clinical Trials Using SAS

This comprehensive guide bridges the gap between modern statistical methodology and real-world clinical trial applications. Step-by-step;

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Analysis of Clinical Trials Using SAS

This comprehensive guide bridges the gap between modern statistical methodology and real-world clinical trial applications. Step-by-step;

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Analysis of Clinical Trials Using SAS

This comprehensive guide bridges the gap between modern statistical methodology and real-world clinical trial applications. Step-by-step;

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Cause & Correlation In Biology

popular and freely available R statistical language. Sections on d-sep tests, latent constructs that are common in biology, missing values;

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Alternative Approach to Quantitative Risk Analysis

many of the flaws of conventional approaches, since it focuses on extreme values, rather than mean values. The purpose of the paper is to;

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Analysis Of Longitudinal Data

The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis;

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