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Estimating equations for kappa statistics

Statistics in Medicine, 2001
AbstractKappa statistics are often used for measuring agreement or association. The original measure suggested by Cohen for use with nominal data has since been generalized in a number of ways, including the incorporation of weights, adaptation for use with more than one rater and the application to bivariate data.
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A generalized estimating/pseudo-score equations approach for the estimation of structural equation models [PDF]

open access: possible, 2000
The results of two simulation studies suggest a mixed `generalized estimating/pseudo-score equations' approach to lead to more efficient estimators than a GEE approach proposed by Qu, Williams, Beck and Medendorp (1992) or a three-stage approach as proposed e.g.
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Estimates of Homogenization for the Beltrami Equation

Journal of Mathematical Sciences, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Sequential Estimation through Estimating Equations

1994
Using the approach to estimation through estimating equations, the information inequalities for regular sequential estimating plans are given and an optimum property of regular maximum likelihood sequential plans is shown in a general model for stochastic processes. The optimum sequential estimating functions are obtained in the nuisance parameter case
openaire   +1 more source

Estimating equations

2019
Bing Li, G. Jogesh Babu
openaire   +1 more source

Statistical Analysis of Correlated Data Using Generalized Estimating Equations: An Orientation

American Journal of Epidemiology, 2003
James A Hanley, Janet E Forrester
exaly  

Empirical Likelihood and General Estimating Equations

Annals of Statistics, 1994
Jerry Lawless
exaly  

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