Results 21 to 30 of about 78,936 (284)
Semiparametric tail-index estimation for randomly right-truncated heavy-tailed data [PDF]
Purpose – The purpose of this paper is to propose a semiparametric estimator for the tail index of Pareto-type random truncated data that improves the existing ones in terms of mean square error.
Saida Mancer +2 more
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Test and asymptotic normality for mixed bivariate measure
Consider a pair of random variables whose joint probability measure is the sum of an absolutely continuous measure, a discrete measure and a finite number of absolutely continuous measures on some lines called jum lines.
Rachid Sabre
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Estimation in a linear errors-in-variables model under a mixture of classical and Berkson errors
A linear structural regression model is studied, where the covariate is observed with a mixture of the classical and Berkson measurement errors. Both variances of the classical and Berkson errors are assumed known.
Mykyta Yakovliev, Alexander Kukush
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The object of this paper is to show that — under certain regularity conditions — a dominated family of probability measures with Euclidean parameter space behaves approximately like a family of normal distributions if each probability measure is the independent product of a great number of identical components.
Michel, R., Pfanzagl, J.
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On maximum likelihood estimation of the extreme value index [PDF]
We prove asymptotic normality of the so-called maximum likelihood estimator of the extreme value ...
de Haan, Laurens +2 more
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Asymptotics for functionals of powers of a periodogram
We present large sample properties and conditions for asymptotic normality of linear functionals of powers of the periodogram constructed with the use of tapered data.
Lyudmyla Sakhno
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On the Use of Conditional Asymptotic Normality
Summary Methods for obtaining the limiting distribution of a complicated statistic which depends on another auxiliary statistic are discussed. Examples are given in which a general conditional approach due to Sethuraman is found to be extremely fruitful in solving this type of problem.
Fligner, Michael A. +1 more
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Estimating 𝐿-Functionals for Heavy-Tailed Distributions and Application
𝐿-functionals summarize numerous statistical parameters and actuarial risk measures. Their sample estimators are linear combinations of order statistics (𝐿-statistics). There exists a class of heavy-tailed distributions for which the asymptotic normality
Abdelhakim Necir, Djamel Meraghni
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Inference in non stationary asymmetric garch models [PDF]
This paper considers the statistical inference of the class of asymmetric power-transformed GARCH(1,1) models in presence of possible explosiveness. We study the explosive behavior of volatility when the strict stationarity condition is not met. This
Francq, Christian, Zakoian, Jean-Michel
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Some Asymptotic Results of Kernel Density Estimator in Length-Biased Sampling [PDF]
In this paper, we prove the strong uniform consistency and asymptotic normality of the kernel density estimator proposed by Jones [12] for length-biased data.The approach is based on the invariance principle for the empirical processes proved by Horváth [
M. Ajami, V. Fakoor, S. Jomhoori
doaj

