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Consistent estimator

In statistics, a consistent estimator or asymptotically consistent estimator is an estimator—a rule for computing estimates of a parameter θ0—having the property that as the number of data points used increases indefinitely, the resulting sequence of estimates converges in probability to θ0. This means that the distributions of the estimates become more…

Standards, Establishing consistency & Bias versus consistency

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Establishing consistency

Bias versus consistency

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Consistent estimator

Nodes33
Edges32
Triples40
Avg. degree1.94
Density0.060606
Components1

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Consistent estimator

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related to References · 34
Consistent estimator → Advanced Econometrics, Amemiya, Casella, Chapter, Consistent, Daniel, Econometrics, Elsevier Science, EMS PressSober, Encyclopedia, Engle, Handbook, Harvard University Press, In Robert, ISBN, Large, Lehmann, Likelihood, Lock-gray-alt-2, Lock-green
related to Biased but consistent · 5
Consistent estimator → Alternatively, For, Important, With, Without Bessel's
is a · 1
Consistent estimator → estimator

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Important terminology

estimator consistent sample sequence probability consistency value one tn parameter unbiased converges estimates size estimators said mean distribution displaystyle used

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SubjectPredicateObjectConfidenceSrc
Consistent estimatoris aestimator0.90text
Consistent estimatorrelated to Biased but consistentAlternatively0.60section
Consistent estimatorrelated to Biased but consistentFor0.60section
Consistent estimatorrelated to Biased but consistentImportant0.60section
Consistent estimatorrelated to Biased but consistentWithout Bessel's0.60section
Consistent estimatorrelated to Biased but consistentWith0.60section
Consistent estimatorrelated to ReferencesLock-green0.60section
Consistent estimatorrelated to ReferencesLock-gray-alt-20.60section
Consistent estimatorrelated to ReferencesLock-red-alt-20.60section
Consistent estimatorrelated to ReferencesWikisource-logo0.60section
Consistent estimatorrelated to ReferencesAmemiya0.60section
Consistent estimatorrelated to ReferencesTakeshi0.60section

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