Inflated Beta Distributions
Raydonal Ospina,Silvia Ferrari +1 more
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In this paper, the authors considered the issue of modeling fractional data observed in the interval [0, 1], (0,1] or [0.1] and proposed mixed continuous-discrete distributions.Abstract:
This paper considers the issue of modeling fractional data observed in the interval [0,1), (0,1] or [0,1]. Mixed continuous-discrete distributions are proposed. The beta distribution is used to describe the continuous component of the model since its density can have quite diferent shapes depending on the values of the two parameters that index the distribution. Properties of the proposed distributions are examined. Also, maximum likelihood and method of moments estimation is discussed. Finally, practical applications that employ real data are presented.read more
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対数正規分布(Lognormal Distribution)のあてはめについて
寛三 日野,Kanzo Hino +1 more
TL;DR: In this article, a lognormally distributed random variable Z = exp(Y) where exp stands for the exponential function (exp(x) = e x) is calculated and the mean Z and the standard deviation s Z of the lognormal variable are related to the mean Y and standard deviation S Y of the normal variable by( 2 / exp() exp(2 Y s Y Z = [1] 5.
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A general class of zero-or-one inflated beta regression models
Raydonal Ospina,Silvia Ferrari +1 more
TL;DR: This paper proposes a general class of regression models for continuous proportions when the data contain zeros or ones, and uses a suitable parameterization of the beta law in terms of its mean and a precision parameter.
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The incidence of bacterial endosymbionts in terrestrial arthropods
TL;DR: The results argue against a major role for parasitic symbionts in driving arthropod diversification by developing a maximum-likelihood approach to estimating incidence, and testing hypotheses about its variation.
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The contribution of atmospheric rivers to precipitation in Europe and the United States
TL;DR: In this paper, the fraction of precipitation from 1979 to 2012 that is related to ARs in these regions was investigated, with the largest contribution generally occurring during the winter season and being on the order of 30-50%.
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Firm age, corporate governance, and capital structure choices
TL;DR: This article found that the effects of firm age on how much debt a firm uses is primarily due to the interaction between firm age and its governance features, implying that over time, managers allow their risk preferences to dominate their firm capital structure decisions when they are protected from discipline.
References
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Book
An introduction to the bootstrap
Bradley Efron,Robert Tibshirani +1 more
TL;DR: This article presents bootstrap methods for estimation, using simple arguments, with Minitab macros for implementing these methods, as well as some examples of how these methods could be used for estimation purposes.
Book
Numerical Optimization
Jorge Nocedal,Stephen J. Wright +1 more
TL;DR: Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization, responding to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems.
Journal ArticleDOI
R: A Language for Data Analysis and Graphics
Ross Ihaka,Robert Gentleman +1 more
TL;DR: In this article, the authors discuss their experience designing and implementing a statistical computing language, which combines what they felt were useful features from two existing computer languages, and they feel that the new language provides advantages in the areas of portability, computational efficiency, memory management, and scope.
Book
Continuous univariate distributions
TL;DR: Continuous Distributions (General) Normal Distributions Lognormal Distributions Inverse Gaussian (Wald) Distributions Cauchy Distribution Gamma Distributions Chi-Square Distributions Including Chi and Rayleigh Exponential Distributions Pareto Distributions Weibull Distributions Abbreviations Indexes
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Generalized additive models for location, scale and shape
TL;DR: The generalized additive model for location, scale and shape (GAMLSS) as mentioned in this paper is a general class of statistical models for a univariate response variable, which assumes independent observations of the response variable y given the parameters, the explanatory variables and the values of the random effects.