Estimation in Cox's failure time regression model is considered when the regression vector is subject to measurement error. A hazard function model is induced for the ...
This is a preview. Log in through your library . Abstract An efficient estimator for regressions in which the parameter vector can take any of several values is devised. It is shown that although the ...
X ij = [x ij1, ... , x ijp]' The Generalized Estimating Equation of Liang and Zeger (1986) for estimating the p ×1 vector of regression parameters is an extension of the independence estimating ...
Nonlinear estimation algorithms are required for obtaining estimates of the parameters of a regression model with innovations having an ARMA structure. The three estimation methods employed by the ...
Abstract: This article expands the methods for analyzing satellite reliability by presenting a framework of measures to determine the best statistical distribution to use in data parameterization, and ...
Abstract: This article introduces new fixed-time and predefined-time parameter estimation approaches for micro/nano positioning systems driven by magnetostrictive actuators, i.e., magnetostrictive ...
Based on the compounding mechanism, a unique discrete probability distribution is investigated in this paper. The Poisson distribution is mixed with a lifetime model called as the Fav-Jerry model. The ...
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