Results 271 to 280 of about 505,956 (309)

Some asymptotic results for the residual maximum likelihood estimation of the parameters of a spatial process

Communications in Statistics - Theory and Methods, 1994
Zhang and Stein (1993) gave a kernel approximation to the order m(m≥1) universal kriging predictor in two dimensions under an order mintrinsic random function model. The two parameters involved in the model are the signal variance and the noise variance.
Biao Zhang
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Residual Diagrams Based on a Remarkably Simple Result Concerning the Variances of Maximum Likelihood Estimators

Journal of Educational and Behavioral Statistics, 2002
A remarkably simple result concerning variances of maximum likelihood (ML) estimators is presented. This result allows for construction of residual diagrams to evaluate whether ML estimators derived from independent samples can be assumed to be equal apart from random errors. Such diagrams can be used to supplement, for example, likelihood ratio tests
Erling B. Andersen
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Maximum likelihood estimation for continuous-time autoregressive models by relaxation on residual variances ratio parameters

Mathematics of Control, Signals and Systems, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alain Breton, Dinh Tuan Pham
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Residuals and Influential Points in Mean Structures Estimated with Pseudo Maximum Likelihood Methods

, 1992
Pseudo maximum likelihood (PML) has been developed by Gourieroux, Monfort and Trognon (1984) for the estimation of mean structures when the distribution function of the error term is not known. Regularity conditions and technical proofs are found in their paper. Their results are briefly reviewed and related to quasi ML estimation of generalized linear
Gerhard Arminger
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Comparing traditional and digital soil mapping at a district scale using residual maximum likelihood analysis

Soil Research, 2018
Conventional soil mapping uses field morphological observations to classify soil profiles into predefined classification systems and extrapolates the classified soils to make a map based on aerial photographs and the experience of the surveyor. A criticism of this approach is that the subjectivity of the surveyor leads to non-reproducible maps ...
Ehsan Zare, Maliha Ahmed, R. S. Malik, Rohana Subasinghe, Jingyi Huang, John Triantafilis   +5 more
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The Maximum Likelihood Estimation of Economic Relationships with Autoregressive Residuals

Econometrica, 1961
J. D. Sargan
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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 ...
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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
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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 ...
Heikkonen, Jukka, Juujärvi, J., Ridderstad, M., Kotiaho, Tapio, Ketola, Raimo, Tarkiainen, Virpi   +6 more
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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
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