Results 21 to 30 of about 5,707,790 (255)

Nonparametric estimation of covariance functions by model selection [PDF]

, 2009
We propose a model selection approach for covariance estimation of a stochastic process. Under very general assumptions, observing i.i.d replications of the process at fixed observation points, we construct an estimator of the covariance function by ...
Muniz Alvarez, Lilian, Muñiz-Alvarez, Lilian, Biscay, Rolando, Lilian, Muniz-Alvarez, Jérémie Bigot, Lilian Muñiz-Alvarez, Bigot, Jérémie, Rolando Biscay, Jean-Michel Loubes, Loubes, Jean-Michel   +9 more
core   +1 more source

Homogeneidade e heterogeneidade de variância residual em modelos de regressão aleatória sobre o crescimento de caprinos Anglo-Nubianos Homogeneity and heterogeneity of residual variance in random regression models on growth trajectory of Nubian goats

Pesquisa Agropecuária Brasileira, 2008
O objetivo deste trabalho foi comparar modelos de regressão aleatória com diferentes estruturas de variâncias residuais, na estimação dos componentes de covariância e parâmetros genéticos de características de crescimento de caprinos.
José Ernandes Rufino de Sousa, Martinho de Almeida e Silva, José Lindenberg Rocha Sarmento, Wandrick Hauus de Sousa, Maria do Socorro Medeiros de Souza, Angela Beatriz Fridrich   +5 more
doaj   +1 more source

Analysis of code levelling rods calibration accuracy applying covariance functions

Geodesy and Cartography, 2012
An analysis of code levelling rods calibration accuracy applying covariance functions theory is presented. Images of the coded rods are treated by the Matlab 7 computer program.
Jonas Skeivalas, Eimuntas Paršeliūnas, Raimundas Putrimas, Dominykas Šlikas   +3 more
doaj   +1 more source

Two-Dimensional Sampling-Recovery Algorithm of a Realization of Gaussian Processes on the Input and Output of Linear Systems

Entropy, 2020
Based on the application of the conditional mean rule, a sampling-recovery algorithm is studied for a Gaussian two-dimensional process. The components of such a process are the input and output processes of an arbitrary linear system, which are ...
Vladimir Kazakov, Mauro A. Enciso, Francisco Mendoza   +2 more
doaj   +1 more source

A covariance function for feed intake, live weight and milk yield estimated using a random regression model [PDF]

, 1999
To enable investigation of genetic variation during early lactation in heifers, multitrait covariance functions were used to describe genetic covariances among feed intake, live weight, and milk yield during the first 15 wk of lactation (n = 628). Random
Veerkamp, R. F., Thompson, R.
core   +1 more source

Asymptotic normality of the residual correlogram in the continuous-time nonlinear regression model

Modern Stochastics: Theory and Applications, 2020
In a continuous time nonlinear regression model the residual correlogram is considered as an estimator of the stationary Gaussian random noise covariance function.
Alexander Ivanov, Kateryna Moskvychova
doaj   +1 more source

Robust covariance estimation for data fusion from multiple sensors [PDF]

, 2011
This paper addresses the robust estimation of a covariance matrix to express uncertainty when fusing information from multiple sensors. This is a problem of interest in multiple domains and applications, namely, in robotics.
Lazarus, Samuel B., Samuel B. Lazarus, Tsourdos, Antonios, Antonios Tsourdos, João Sequeira, Sequeira, João   +5 more
core   +1 more source

Predição de valores genéticos para a produção de leite no dia do controle e para a produção acumulada até 305 dias Predicting breeding values for test-day records and accumulated 305 day milk yield

Revista Brasileira de Zootecnia, 2005
Foram estimados valores genéticos para as produções de leite no dia do controle de animais da raça Caracu, usando modelo unicaracterístico padrão (TDMO) e modelo de regressão aleatória (MRA).
Lenira El Faro, Lucia Galvão de Albuquerque   +1 more
doaj   +1 more source

Automatic positive semidefinate HAC covariance matrix and GMM estimation [PDF]

, 2005
This paper proposes a new class of heteroskedastic and autocorrelation consistent (HAC) covariance matrix estimators. The standard HAC estimation method reweights estimators of the autocovariances.
Smith, Richard J.
core   +1 more source

Estimação de componentes de co-variância para pesos corporais do nascimento aos 365 dias de idade de bovinos Guzerá empregando-se modelos de regressão aleatória Estimates of covariance components for body weights from birth to 365 days of age in Guzera cattle, using random regression models

Revista Brasileira de Zootecnia, 2009
Um total de 19.770 pesos corporais de bovinos Guzerá, do nascimento aos 365 dias de idade, pertencentes ao banco de dados da Associação Brasileira dos Criadores de Zebu (ABCZ) foi analisado com os objetivos de comparar diferentes estruturas de variâncias
Luciele Cristina Pelicioni, Lucia Galvão de Albuquerque, Sandra Aidar de Queiroz   +2 more
doaj   +1 more source