Results 61 to 70 of about 1,035 (153)
The functional average treatment effect
This article establishes the functional average as an important estimand for causal inference. The significance of the estimand lies in its robustness against traditional issues of confounding.
Sparkes Shane, Garcia Erika, Zhang Lu
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Our goal is to state and prove the almost sure central limit theorem for maxima (Mn) of X1, X2, ..., Xn, n ∈ ℕ, where (Xi) forms a stochastic process of identically distributed r.v.’s of the continuous type, such that, for any fixed n, the family of r.v.’
Dudziński Marcin, Furmańczyk Konrad
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A note on conditional covariance matrices for elliptical distributions
In this short note we provide an analytical formula for the conditional covariance matrices of the elliptically distributed random vectors, when the conditioning is based on the values of any linear combination of the marginal random variables.
Jaworski, Piotr, Pitera, Marcin
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Working with shuffles, we establish a close link between Kendall’s τ\tau , the so-called length measure, and the surface area of bivariate copulas and derive some consequences.
Sánchez Juan Fernández +1 more
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Characterizations of Pareto, Weibull and Power Function Distributions Based On Generalized Order Statistics [PDF]
Characterizations of probability distributions by different regression conditions on generalized order statistics has attracted the attention of many researchers.
Ahsanullah, M., Hamedani, Gholamhossein
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Robust Bayesian Inference on Scale Parameters [PDF]
AMS classifications: 62F15, 60E05.Posterior distribution;Scale invariance;Scale model;Regression ...
Fernández, C. +2 more
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Regresión Lineal con Errores no Normales: Secante Hiperbólica Generalizada
En este trabajo se presenta un estudio del modelo de regresión lineal del tipo y = Θx+e, donde el error tiene distribución Secante Hiperbólica Generalizada (SHG).
Álvaro Alexander Burbano Moreno +1 more
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Randomly stopped maximum and maximum of sums with consistently varying distributions
Let $\{\xi_1,\xi_2,\ldots\}$ be a sequence of independent random variables, and $\eta$ be a counting random variable independent of this sequence. In addition, let $S_0:=0$ and $S_n:=\xi_1+\xi_2+\cdots+\xi_n$ for $n\geqslant1$. We consider conditions for
Andrulytė, Ieva Marija +2 more
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Shape theory via polar decomposition [PDF]
This work proposes a new model in the context of statistical theory of shape, based on the polar decomposition. The non isotropic noncentral elliptical shape distributions via polar decomposition is derived in the context of zonal polynomials, avoiding ...
Agraria Antonio Narro +2 more
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Diversas distribuciones generalizadas se desarrollan en la literatura estadística, entre ellas se encuentra la distribución Secante Hiperbólica Generalizada (SHG).
Luis Alejandro Másmela Caita +1 more
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