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Point estimation

In statistics, point estimation involves the use of sample data to calculate a single value (known as a point estimate, since it identifies a point rather than an interval), which serves as a "best guess" or "best estimate" of an unknown quantity, for example, the population mean, the variance of a distribution, or a model parameter (in a parametric model).

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Properties of point estimators

UnbiasedEstimatorExpected valueSample meanMedian
14 related topics

Overview

StatisticsSampleDataPointInterval
68 related topics

Estimation methods

Prior distributionPosterior distributionBayesian point estimatorsCentral tendency
4 related topics

Point estimate v.s. confidence interval estimate

Confidence level
1 related topics

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Overview

Properties of point estimators

Estimation methods

Point estimate v.s. confidence interval estimate

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Map overview Semantic statistics

Point estimation

Nodes92
Edges91
Triples55
Avg. degree1.98
Density0.021739
Components1

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Point estimation

Top relations

related to References · 54
Point estimation → Ajit Kumar, Basic, Berger, Bickel, Cambridge University Press, Casella, Das, Dekking, Dodge, Doksum, Duxbury, Erich, Estimation, Francis, Friedrich, George, Inferential Statistics, ISBN, Jaynes, Jun
is a · 1
Point estimation → opposite of interval estimation

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Important terminology

displaystyle estimator theta distribution unbiased estimation parameter mathbb variance estimators point sample called mathrm confidence dots hat value method data

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Point estimationis aopposite of interval estimation0.90text
Point estimationrelated to ReferencesBickel0.60section
Point estimationrelated to ReferencesPeter0.60section
Point estimationrelated to ReferencesDoksum0.60section
Point estimationrelated to ReferencesKjell0.60section
Point estimationrelated to ReferencesMathematical Statistics0.60section
Point estimationrelated to ReferencesBasic0.60section
Point estimationrelated to ReferencesSelected Topics0.60section
Point estimationrelated to ReferencesVol0.60section
Point estimationrelated to ReferencesTaylor0.60section
Point estimationrelated to ReferencesFrancis0.60section
Point estimationrelated to ReferencesISBN0.60section

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