Results 261 to 270 of about 125,543 (299)

A CONDITIONAL DERIVATION OF RESIDUAL MAXIMUM LIKELIHOOD

The Australian Journal of Statistics, 1990
SummaryPatterson & Thompson (1971) introduced residual maximum likelihood estimation in the case of unbalanced incomplete block designs. Harville (1974) and Cooper & Thompson (1977) give alternative derivations of the likelihood function. The purpose of this note is to provide another derivation of the likelihood function which may be useful in
exaly   +2 more sources

Comparing sampling needs for variograms of soil properties computed by the method of moments and residual maximum likelihood

Geoderma, 2007
It has been generally accepted that the method of moments (MoM) variogram, which has been widely applied in soil science, requires about 100 sites at an appropriate interval apart to describe the variation adequately. This sample size is often larger than can be afforded for soil surveys of agricultural fields or contaminated sites.
R Kerry, M A Oliver
exaly   +2 more sources

Maximum likelihood and the maximum product of spacings from the viewpoint of the method of weighted residuals

Computational and Applied Mathematics, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Average information residual maximum likelihood in practice

Journal of Animal Breeding and Genetics, 2019
AbstractGilmour, Thompson, and Cullis (Biometrics, 1995, 51, 1440) presented the average information residual maximum likelihood (REML) algorithm for efficient variance parameter estimation in the linear mixed model. That paper dealt specifically with traditional variance component models, but the algorithm was quickly applied to more general models ...
openaire   +2 more sources

Maximum likelihood estimation of models for residual covariance in spatial regression

Biometrika, 1984
The assumption of uncorrelated residuals in regression analysis of spatial data is frequently unrealistic. Therefore the maximum likelihood method of estimating parameters of covariance structure of residuals (altogether with estimating regression parameters) is described in the paper. The observed data have the form of a real valued Gaussian process Y(
Mardia, K. V., Marshall, R. J.
openaire   +1 more source

A New Maximum Likelihood Approach with Asymmetric Residual Distribution for Multicomponent Mass Spectra Analysis

European Journal of Mass Spectrometry, 2004
This paper proposes a new maximum likelihood approach for the deconvolution of identity and quantity of individual compounds based on the multicomponent mass spectra measured by mass spectrometry (MS). Mixture analysis of multicomponent mass spectra is, typically, based on a linear multicomponent mass spectrum model, where the compounds of the measured
Heikkonen, Jukka, Juujärvi, J., Ridderstad, M., Kotiaho, Tapio, Ketola, Raimo, Tarkiainen, Virpi   +6 more
openaire   +2 more sources

Maximum likelihood estimation of generalized linear models with generalized Gaussian residuals

2016 2nd International Conference of Signal Processing and Intelligent Systems (ICSPIS), 2016
Assumption of normally distributed residuals is one of the big challenges in the generalized linear models (GLM). Recently, generalized Gaussian distribution (GGD) is used widely to analyze and model heavy-tail signals. Consequently, investigations for robust estimation of regression coefficients have led us to introduce GG-GLM, which models the GLM ...
Hamidreza Hakimdavoodi, Maryam Amirmazlghani   +1 more
openaire   +1 more source

Residual Maximum Likelihood (REML) Estimation of a Neighbour Model for Field Experiments

Biometrics, 1987
A spatial analysis of field experiments is proposed which takes account of association between neighbouring plots. The residual maximum likelihood (REML) method of Patterson and Thompson (1971, Biometrika 58, 545-554) is used to estimate parameters of a general neighbour model, which can be expressed as an autoregressive moving average (ARMA) model ...
Alan C. Gleeson, Brian R. Cullis
openaire   +1 more source

Maximum likelihood channel estimation for residual self-interference cancellation in full duplex relays

2015 49th Asilomar Conference on Signals, Systems and Computers, 2015
Maximum likelihood channel estimation for a full duplex relay is proposed, which estimates the residual self-interference (RSI) channel as well as the end-to-end channel of the relay system, aiming to cancel the RSI at the destination. The log-likelihood function is maximized through a quasi-Newton method, where alternative optimization and Euclidean ...
Xiaofeng Li 0003, Cihan Tepedelenlioglu
openaire   +1 more source

Incorporation of Spatial Information in Bayesian Image Reconstruction: The Maximum Residual Likelihood Criterion

Publications of the Astronomical Society of the Pacific, 1992
We have developed a new figure of merit, a "Maximum-Residual-Likelihood" (MRL) statistic, for the goodness of fit for Bayesian image resotration which explicitly incorporates spatial information. The MRL constraint provides a natural means of incorporating the prior knowledge that the residuals contal no spatial structure through teh autocorrelation ...
R. K. Pina, R. C. Puetter
openaire   +1 more source