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Computation of Multivariate Normal and t Probabilities

Multivariate normal and t probabilities are needed for statistical inference in many applications. Modern statistical computation packages;

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Statistical Inference For Models With Multivariate T-Distrib

regression models with non-normal errors with practical real-world examples * Uniquely addresses regression models in Student's t-distributed errors;

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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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Aspects of Multivariate Statistical Theory

the multivariate normal distribution is quite exceptional. As such it is a very useful source of information for the general statistician and;

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Applied Multivariate Analysis

discussions of continuous multivariate distributions, the normal distribution, and Bayesian inference; multivariate large sample distributions and;

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Robust Multivariate Analysis

types of outliers. Instead of using exact theory based on the multivariate normal distribution, the simpler and more applicable large sample;

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Usage of Risk Measures in Management of Investment Portfolios

normal, skew normal and skew t-copula; and covers time period from January 2000 until December 2010.";

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Multivariate Geostatistics

chapters regarding normal kriging and cokriging have been restructured and the section on non-stationary geostatistics has been entirely rewritten.;

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Matrix Variate Distributions

: matrix variate normal distribution Wishart distribution Matrix variate t-distribution Matrix variate beta distribution F;

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Introduction to Multivariate Analysis

preliminary analysisof a large -scale set of data, princ iple component and factor analysis,traditional normal theory material, as well as;

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Estimation of Rare Event Probabilities in Complex Aerospace and Other Systems

problem. Estimation of Rare Event Probabilities in Complex Aerospace and Other Systems: A Practical Approach provides a broad up-to-date view;

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Rational Choice Using Imprecise Probabilities and Utilities

An agent often does not have precise probabilities or utilities to guide resolution of a decision problem. I advance a principle;

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Symmetric Multivariate and Related Distributions

Since the publication of the by now classical Johnson and Kotz Continuous Multivariate Distributions (Wiley, 1972) there have been;

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Finite Mixture of Skewed Distributions

classical symmetric distributions: the skew-t (ST), the skew-slash (SSL) and the skew-contaminated normal (SCN), for example. These distributions;

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Engineers Research and Computation Book

computation book is different than a normal notepad because it has ruled lines with columns and rows that work great for analyzing data. In addition;

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Continuous Multivariate Distributions

coverage includes MV systems of distributions, MV normal, MV exponential, MV extreme value, MV beta, MV gamma, MV logistic, MV Liouville, and MV;

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Univariate and Multivariate Statistical Process Control

Univariate and multivariate quality control charts are important tools for process/product monitoring and improvement. This monograph;

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Multivariate Time Series Analysis

illustrate related computation and analyses. Featuring the techniques and methodology of multivariate linear time series, stationary VAR models, VAR;

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Applied Multivariate Statistics with R

multivariate normal distributions; factor methods; linear regression; discrimination and classification; clustering; time series models; and additional;

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The Geometry of Multivariate Statistics

combinations are formed from these matrices by multiplying them by coefficient matrices, and useful statistics are found by imposing various criteria;

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The Geometry of Multivariate Statistics

combinations are formed from these matrices by multiplying them by coefficient matrices, and useful statistics are found by imposing various criteria;

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Advances in Cryptology -- CRYPTO 2011

proofs; outsourcing and delegatin computation; symmetric cryptanalysis and constructions; secure computation: leakage and side channels; quantum;

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Shrinkage Estimation

statistical properties. The book focuses primarily on point and loss estimation of the mean vector of multivariate normal and spherically symmetric;

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Multivariate Probability

variables Bivariate distributions and the general theory of random vectors Relationships between random variables Normal linear model and;

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American-Type Options

price but also an additional stochastic modulating index component, and use of minimal conditions of smoothness for transition probabilities and;

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Multivariate T-Distributions and Their Applications

Almost all the results available in the literature on multivariate t-distributions published in the last 50 years are now collected;

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Statistical Tolerance Regions

including tolerance limits for a ratio of normal random variables, sample size determination, reference limits and coverage intervals, tolerance;

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