Now showing items 1-10 of 46787
Statistical properties and different methods of estimation of Gompertz distribution with application
(Taru Publications, 2018-01-01)
This article addresses the various properties and different methods of estimation of the unknown parameters of Gompertz distribution. Although, our main focus is on estimation from both frequentist and Bayesian point of ...
Adaptive arrival cost update for improving Moving Horizon Estimation performance
(Elsevier Science Inc, 2017-05)
Moving horizon estimation is an efficient technique to estimate states and parameters of constrained dynamical systems. It relies on the solution of a finite horizon optimization problem to compute the estimates, providing ...
Estimating large complex projects
(Pontificia Universidad Católica de Chile. Departamento de Ingeniería y Gestión de la Construcción, 2007)
Robust estimation for vector autoregressive models
(Elsevier Science, 2013-09)
A new class of robust estimators for VAR models is introduced. These estimators are an extension to the multivariate case of the MM-estimators based on a bounded innovation propagation AR model. They have a filtering ...
Alternative Admissible Biased Estimators
(Institute Of Electrical And Electronics Engineers, 2013-02)
In this work, a biased estimator obtained from an affine transformation of an unbiased estimator will be analyzed. In particular, the method proposed by Y. C. Eldar will be studied, and alternative approaches will be ...
Genetic parameters estimates for milk, fat and protein yield analyzed by test day models for Murrah buffaloes in Brazil
(Pagepress Publ, 2007-01-01)
The objectives of this study were to estimate genetic parameters for test-day milk, fat and protein yields, in Murrah buffaloes. In this study 4,757 complete lactations of Murrah buffaloes were analyzed. The (co) variance ...
Robust Estimators of the Generalized Log-Gamma Distribution
(Taylor & Francis, 2013-07)
We propose robust estimators of the generalized log-gamma distribution and, more generally, of location-shape-scale families of distributions. A (weighted) Qτ estimator minimizes a τ scale of the differences between empirical ...
Shannon entropy estimation in infinity-alphabets from convergence results: studying plug-in estimators
This work addresses the problem of Shannon entropy estimation in countably infinite alphabets studying and adopting some recent convergence results of the entropy functional, which is known to be a discontinuous function ...
Semiparametric estimation and inference using doubly robust moment conditions
We study semiparametric two-step estimators which have the same structure as parametric doubly robust estimators in their second step. The key difference is that we do not impose any parametric restriction on the nuisance ...
Resistant estimates for high dimensional and functional data based on random projections
We herein propose a new robust estimation method based on random projections that is adaptive and automatically produces a robust estimate, while enabling easy computations for high or infinite dimensional data. Under some ...