Results 21 to 30 of about 28,068 (205)

Peaks Over Random Threshold Methodology for Tail Index and High Quantile Estimation

open access: yesRevstat Statistical Journal, 2006
In this paper we present a class of semi-parametric high quantile estimators which enjoy a desirable property in the presence of linear transformations of the data.
Paulo Araújo Santos   +2 more
doaj   +1 more source

Rate of convergence for a class of RCA estimators [PDF]

open access: yes, 2006
summary:This work deals with Random Coefficient Autoregressive models where the error process is a martingale difference sequence. A class of estimators of unknown parameter is employed.
Vaněček, Pavel
core   +1 more source

An "Optimal" Subclass of Linear Unbiased Estimators [PDF]

open access: yesThe Egyptian Statistical Journal, 1989
Azzam, Birkes and Seely (1988) studied the problem of characterizing an "optimal' class of linear unbiased estimators. This "optimal" class is the class of all admissible linear unbiased estimators (ALUE's) of an estimable parametric function in linear ...
Abdul-Mordy Azzam
doaj   +1 more source

Coefficient estimates for the class $\Sigma$ [PDF]

open access: yesKodai Mathematical Journal, 1986
Let \(\Sigma\) be the class of functions \(f(z)=z+\sum^{\infty}_{n=0}b_nz^{-n}\) that are analytic and univalent for \(| z| >1\). For each \(n\geq 2\), \textit{Y. J. Leung} and the reviewer [Proc. Am. Math. Soc. 94, 659--664 (1985; Zbl 0584.30013)] proved that there is a finite value \(t\), depending on \(n\), such that the inequality \(\Re\{tb_1+b_n\}\
openaire   +3 more sources

Identification of Leverage Points in Principal Component Regression and r-k Class Estimators with AR(1) Error Structure

open access: yesJournal of Advanced Research in Natural and Applied Sciences, 2020
The determination of leverage observations have been frequently investigated through ordinary least squares and some biased estimators proposed under the multicollinearity problem in the linear regression models.
Tuğba Söküt
doaj   +1 more source

A Class of Shrinkage Estimators

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1978
Summary In this paper we define a class of shrinkage estimators, all of whose members have a mean square error matrix which is less than that of the ordinary least squares estimator by a positive semidefinite matrix if (β-b  *)T  X  T  X (β-b  *) ≤ σ2.
openaire   +2 more sources

Asymptotic optimality of the quasi-score estimator in a class of linear score estimators [PDF]

open access: yes, 2006
We prove that the quasi-score estimator in a mean-variance model is optimal in the class of (unbiased) linear score estimators, in the sense that the difference of the asymptotic covariance matrices of the linear score and quasi-score estimator is ...
Kukush, Alexander, Schneeweiß, Hans
core   +1 more source

An improved class of estimators for mean estimation of finite population in simple random sampling

open access: yesAlexandria Engineering Journal
This paper proposes an improved class of estimators for finite population mean under simple random sampling without replacement using an auxiliary variable to enhance efficiency.
Jiawei Yao, Jinping Ma
doaj   +1 more source

On the Admissibility of Estimators of Two Ordered Gamma Scale Parameters under Entropy Loss Function

open access: yesRevstat Statistical Journal, 2011
Suppose that a random sample of size ni is drawn from a gamma distribution with known shape parameter νi > 0 and unknown scale parameter βi > 0, i = 1, 2, satisfying 0 < β1 ≤ β2.
N. Nematollahi , Z. Meghnatisi
doaj   +1 more source

On a Class of Minimum Contrast Estimators for Fractional Stochastic Processes and Fields

open access: yes, 2004
This paper presents the results on consistency and asymptotic normality of a class of minimum contrast estimators for fractional Riesz–Bessel motion based on continuous-time observation.
Anh, Vo   +5 more
core   +1 more source

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