Results 261 to 270 of about 3,367,709 (291)

MLREML: A computer program for the inference of spatial covariance parameters by maximum likelihood and restricted maximum likelihood

Computers and Geosciences, 1997
Abstract Maximum likelihood and restricted maximum likelihood are appealing parametric alternatives to other classical nonparametric methods to estimate the covariance parameters of spatial variables. MLREML, an ANSI FORTRAN-77 computer program which performs both kinds of inference methods is presented.
Eulogio Pardo-Iguzquiza
exaly   +2 more sources

A note on local maxima in maximum likelihood, restricted maximum likelihood, and baysian estimation of variance components

Journal of Statistical Computation and Simulation, 1989
maximum Likelihood (ML), Restricted Maximum Likelihood (REML) and Bayesian methods are often preferred over other methods for estimating variance components in animal breeding. Iterative computing stategies are required for obtaining estimates with unbalanced data and models with at least two variance components.
exaly   +2 more sources

Maximum likelihood and restricted maximum likelihood estimation for a class of Gaussian Markov random fields

Metrika, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
De Oliveira, Victor, Ferreira, Marco A. R.   +1 more
openaire   +1 more source

Restricted Maximum Likelihood Estimators for Poisson Parameters

Journal of the American Statistical Association, 1976
Abstract Let X, Xi, Xij, j = 1, …, n, j = 1, …, ni be independent Poisson random variables with parameters λ, λ i , λ ij . The maximum likelihood estimators for the parameters subject to (1) and subject to (1) and (2) are obtained. The bias and MSE of these restricted maximum likelihood estimators (RMLE's) are approximated by analytic and Monte Carlo ...
Richard L. Dykstra, Richard W. Madsen
openaire   +1 more source

A restricted maximum likelihood estimator for truncated height samples

Economics & Human Biology, 2004
A restricted maximum likelihood (ML) estimator is presented and evaluated for use with truncated height samples. In the common situation of a small sample truncated at a point not far below the mean, the ordinary ML estimator suffers from high sampling variability.
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Estimation of covariance parameters in kriging via restricted maximum likelihood

Mathematical Geology, 1991
In kriging, parametric approaches to covariance (or variogram) estimation require that unknown parameters be inferred from a single realization of the underlying random field. An approach to such an estimation problem is to assume the field to be Gaussian and iteratively minimize a (restricted) negative loglikelihood over the parameter space.
Dietrich, C. R., Osborne, M. R.
openaire   +2 more sources

MLREML4: A program for the inference of the power variogram model by maximum likelihood and restricted maximum likelihood

Computers & Geosciences, 1998
The power variogram model γ(h)=α·|h|β, α>0, β∈]0, 2[, is an important theoretical model when only the intrinsic hypothesis is assumed for a random function and has been extensively used in practice, e.g. for variables such as piezometric level in groundwater hydrology and rainfall in surface hydrology.
openaire   +1 more source

Restricted Maximum Likelihood Estimation for Parameters of the Social Relations Model

Psychometrika, 2016
In many areas of research, the round-robin design is used to study interpersonal judgments and behaviors. The resulting data are analyzed with the social relations model (SRM), whereby almost all previously published studies have used ANOVA-based methods or multilevel-based methods to obtain SRM parameter estimates. In this article, the SRM is embedded
openaire   +2 more sources

Restricted maximum likelihood estimation under Eisenhart model Ill

Statistica Neerlandica, 1991
For a balanced two‐way mixed model, the maximum likelihood (ML) and restricted ML (REML) estimators of the variance components were obtained and compared under the non‐negativity requirements of the variance components by Lee and Kapadia (1984). In this note, for a mixed (random blocks) incomplete block model, explicit forms for the REML estimators of ...
Lee, K. R., Kapadia, C. H.
openaire   +1 more source

Maximum likelihood and restricted maximum likelihood estimators as functions of ordinary least squares and analysis of variance estimators

Communications in Statistics - Theory and Methods, 1996
For a class of linear models with normally distributed error structures, necessary and sufficient conditions are given where the maximum likelihood (ML) and restricted maximum likelihood (REML) estimators of the parameters are functions of the ordinary least squares (OLS) and analysis of variance (ANOVA) estimators.
Barry Kurt Moser, Melinda H. McCann
openaire   +1 more source