Results 261 to 270 of about 1,338,681 (301)

Quasi-Likelihood Methods

2017
In this chapter, quasi-likelihood methods are shown. If the random component of a GLM is specified then the likelihood function can be used and the role of maximum likelihood method for estimating parameters of a model is well established. In GLM, the response or outcome variable follows a specific probability distribution under the family of ...
M. Ataharul Islam, Rafiqul I. Chowdhury
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On the Use of the Quasi-Likelihood Method in Teratological Experiments

Biometrics, 1994
This paper concerns the impact of litter effects on the inference of dose-response relationships in teratological experiments with binary response. Kupper et al. (1986, Biometrics 42, 85-98) concluded that when intra-litter correlations are dose-dependent, the use of a common intra-litter correlation likelihood based on the beta-binomial distribution ...
Liang, Kung-Yee, Hanfelt, John
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Generalized quasi-likelihood

Statistical Papers, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Rate of strong consistency of the maximum quasi-likelihood estimator in quasi-likelihood nonlinear models

Applied Mathematics-A Journal of Chinese Universities, 2008
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Xia, Tian, Kong, Fanchao
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A deviance function for the quasi-likelihood method

Biometrika, 1993
Summary: We introduce a deviance function that can be used in conjunction with the quasi-likelihood method. The need for such functions arises when the quasi-log likelihood function is not uniquely defined. The deviance is obtained by projecting a pair of centered likelihood ratios onto the direct sum of two Hilbert spaces spanned by the observations ...
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Likelihood and Quasi-Likelihood

2009
In this section the local maximum likelihood approach is introduced as a generalization of the linear LPA. It provides universal tools for designing methods and algorithms for a variety of stochastic models that are different from the standard Gaussian one.
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An extension of quasi-likelihood estimation

Journal of Statistical Planning and Inference, 1989
The extension of quasi-likelihood estimation consists in incorporating the knowledge of the skewness, kurtosis and higher moments instead of their mean and variance only. Analogously the concept of quasi-score functions is extended. Properties of the extension in terms of ``optimality'' and ``orthogonality'' are discussed. The paper is accompanied by a
Godambe, V. P., Thompson, M. E.
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Quasi-Likelihood and GLIM

1985
Quasi-likelihood allows GLMs to be specified by use of the link function and variance function only, or equivalently by specifying the first two moments of the error distribution. Wedderburn’s original definition is extended to allow the comparison of different variance functions, and several uses of quasi-likelihood in extending the range of GLMs are ...
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The quasi-likelihood estimation in regression

Annals of the Institute of Statistical Mathematics, 1996
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Quasi-compensatory effect in emerging anode-free lithium batteries

EScience, 2021
Jun Ming, Yang-Kook Sun, Hun-Gi Jung
exaly