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Estimating equations

In statistics, the method of estimating equations is a way of specifying how the parameters of a statistical model should be estimated. This can be thought of as a generalisation of many classical methods—the method of moments, least squares, and maximum likelihood—as well as some recent methods like M-estimators.

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Estimating equations

Nodes15
Edges14
Triples23
Avg. degree1.87
Density0.133333
Components1

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Estimating equations

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related to References · 21
Estimating equations → Applications, Christopher, Estimating Functions, General Approach, Godambe, Heyde, ISBN, Its Application, Jinfang, McLeish, New York, Nonlinear Estimating Equations, Numerical Methods, Optimal Parameter Estimation, Oxford University Press, Quasi-Likelihood, Small, Springer-Verlag, Statistical Inference Functions, The Theory
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Estimating equations → way of specifying how the parameters of a statistical model should be estimated
see also · 1
Estimating equations → Generalized

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equations estimating method isbn sample likelihood data new york parameters model set estimates examples christopher statistics statistical methods moments maximum

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SubjectPredicateObjectConfidenceSrc
Estimating equationsis away of specifying how the parameters of a statistical model should be estimated0.90text
Estimating equationsrelated to ReferencesGodambe0.60section
Estimating equationsrelated to ReferencesEstimating Functions0.60section
Estimating equationsrelated to ReferencesNew York0.60section
Estimating equationsrelated to ReferencesOxford University Press0.60section
Estimating equationsrelated to ReferencesISBN0.60section
Estimating equationsrelated to ReferencesHeyde0.60section
Estimating equationsrelated to ReferencesChristopher0.60section
Estimating equationsrelated to ReferencesQuasi-Likelihood0.60section
Estimating equationsrelated to ReferencesIts Application0.60section
Estimating equationsrelated to ReferencesGeneral Approach0.60section
Estimating equationsrelated to ReferencesOptimal Parameter Estimation0.60section

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