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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 ...
Genetic parameters estimates for milk, fat and protein yield analyzed by test day models for Murrah buffaloes in Brazil
(2007-12-01)
The objectives of this study were to estimate genetic parameters for testday 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
(MDPI, 2018-06)
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 ...
Application of Affine Estimators to Single Tone Frequency Estimation
(Sociedad Argentina de Informática, 2012)
Affine estimation has emerged as a promising technique toreduce the mean squared error (MSE) between the estimated parametersand the true value of these parameters. The aim of this paper is to obtainan affine estimator for ...
Priority statement and some properties of t-lgHill estimator
(Springer, 2020)
We acknowledge the priority on the introduction of the formula of t-lgHill estimator for the positive extreme value index. We provide a novel motivation for this estimator based on ecologically driven dynamical systems. ...
Estimation of Spatial Lag Model Under Random Missing Data in the Dependent Variable. Two Stage Estimator with Imputation
(Pontificia Universidad Católica del Perú, 2021)
Robust estimators of accelerated failure time regression with generalized log-gamma errors
(Elsevier Science, 2017-03)
The generalized log-gamma (GLG) model is a very flexible family of distributions to analyze datasets in many different areas of science and technology. Estimators are proposed which are simultaneously highly robust and ...
THE DIFFICULTIES OF ESTIMATION OF DISPERSION PARAMETERS IN LINEAR-MODELS - AN ILLUSTRATION
(Springer VerlagNew York, 1995)
Resistant estimates for high dimensional and functional data based on random projections
(Elsevier, 2012-09)
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 ...