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Statistical analysis of extreme data is vital to many disciplines including hydrology, insurance, finance, engineering and environmental;
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This volume of the Selected Papers from Portugal is a product of the Seventeenth Congress of the Portuguese Statistical Society, held at;
Vergelijkbare producten zoals Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications
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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of attention from statistical and mathematical researchers. This book brings together world-recognized authorities in their respective fields to;
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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: Methods and Applications presents a broad overview of statistical modeling of extreme events;
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the statistical inferential techniques for using these models in practice. Intended for statisticians and non-statisticians alike, the;
Vergelijkbare producten zoals 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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, spectral analysis, extreme values and correlation. This book is written for climatologists and applied statisticians. It explains step by step;
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Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current;
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certain aspects of the distribution of extreme values change, while the mean does not. Katz and Brown (1992), for example, show from a theoretical;
Vergelijkbare producten zoals Improved Understanding of Past Climatic Variability from Early Daily European Instrumental Sources
Spatio-temporal Analysis of Extreme Hydrological Events offers an extensive view of the experiences and applications of the latest;
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This book on multivariate models, statistical inference, and data analysis contains deep coverage of multivariate non-normal distributions;
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can be used to create values for sensitivity test purpose.;
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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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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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for time series and regression analysis, and with statistical methods for complex data structures. The individual contributions of leading;
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researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to;
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researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to;
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. Valuable to everyone who produces, uses, or evaluates scientific data, Statistical Techniques for Data Analysis, Second Edition provides;
Vergelijkbare producten zoals Statistical Techniques for Data Analysis
. Valuable to everyone who produces, uses, or evaluates scientific data, Statistical Techniques for Data Analysis, Second Edition provides;
Vergelijkbare producten zoals Statistical Techniques for Data Analysis, Second Edition
This comprehensive guide bridges the gap between modern statistical methodology and real-world clinical trial applications. Step-by-step;
Vergelijkbare producten zoals 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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This comprehensive guide bridges the gap between modern statistical methodology and real-world clinical trial applications. Step-by-step;
Vergelijkbare producten zoals Analysis of Clinical Trials Using SAS
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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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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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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