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Characterizations of Recently Introduced Univariate Continuous Distributions II

Hamedani and Maadooliat) which presents various characterizations of a wide variety of continuous distributions. These two monographs could also be;

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Characterizations of Univariate Continuous Distributions

Provides in an organized manner characterizations of univariate probability distributions with many ;...

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Univariate Discrete Distributions

This set contains: Continuous Multivariate Distributions, Volume 1 , Models and Applications, 2nd Edition by Samuel Kotz, N. Balakrishnan;

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Continuous Univariate Distributions

specific continuous distributions. These distributions are used in reliability and communication engineering, business and economics.;

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Handbook on Univariate Statistical Distributions

of the common univariate discrete and continuous statistical distributions with their basic properties. For each distribution, most of the common;

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Continuous Univariate Distributions

This volume presents a detailed description of the statistical distributions that are commonly appli;...

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On Copula Density Estimation and Measures of Multivariate Association

of continuous distributions are investigated. To cope with the effect of boundary bias, new estimators are introduced and existing functionals are;

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Handbook on Univariate Statistical Distributions

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Handbook on Univariate Statistical Distributions

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Advances on Models, Characterizations and Applications

Statistical distributions are one of the most important applied mathematical tools across a wide spe;...

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Advances on Models, Characterizations and Applications

Statistical distributions are one of the most important applied mathematical tools across a wide spe;...

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Distributions for Modeling Location, Scale, and Shape

distributions, (implemented in the GAMLSS packages in R), including continuous, discrete and mixed distributions. Comprehensive summary;

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Distributions for Modeling Location, Scale, and Shape

distributions, (implemented in the GAMLSS packages in R), including continuous, discrete and mixed distributions;

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Statistical Simulation

years, it was not until recently that the probability density function (pdf) and cumulative distribution function (cdf) were derived and made;

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Statistical Simulation

years, it was not until recently that the probability density function (pdf) and cumulative distribution function (cdf) were derived and made;

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Applied Statistical Science II

Contents: Nonparametric Perspectives in Regression Analysis; Record Values of Univariate Distributio;...

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Life Distributions: Structure of Nonparametric, Semiparametric, and Parametric Families

This book is devoted to the study of univariate distributions appropriate for the analyses of data k;...

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Fitting Statistical Distributions

Generalized Bootstrap (GB), and Monte Carlo simulation (MC). They provide the tables, algorithms, and computer programs needed for fitting continuous;

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Fitting Statistical Distributions

Generalized Bootstrap (GB), and Monte Carlo simulation (MC). They provide the tables, algorithms, and computer programs needed for fitting continuous;

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Multivariate Statistical Simulation

This book provides state-of-the-art coverage for the researcher confronted with designing and executing a simulation study using continuous;

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Continuous Multivariate Distributions

Continuous Multivariate Distributions, Volume 1, Second Edition provides a remarkably comprehensive, self-contained resource for this;

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Multivariate Survival Analysis and Competing Risks

, survival distributions, frailty models, parametric methods, multivariate data and distributions, copulas, continuous failure, parametric likelihood;

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Multivariate Survival Analysis and Competing Risks

, survival distributions, frailty models, parametric methods, multivariate data and distributions, copulas, continuous failure, parametric likelihood;

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Fundamentals Of Probability

continuous distributions, moment generating functions, fundamental probability inequalities, the central limit theorem, and joint and conditional;

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A Primer on Statistical Distributions

essential to working with distributions. Remaining chapters are divided into three parts: Discrete Distributions, Continuous Distributions, and;

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Mathematical Statistics: A Textbook

standard probability distributions (Discrete, Absolutely Continuous and Singular Distributions) inclusive of circular, Singular distributions. New;

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Field Guide to Continuous Probability Distributions

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