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Quantile

In statistics and probability, quantiles are cut points dividing the range of a probability distribution into continuous intervals with equal probabilities or dividing the observations in a sample in the same way. Common quantiles have special names, such as quartiles (four groups), deciles (ten groups), and percentiles (100 groups). The groups created…

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Overview

Quantiles of a population

Estimating quantiles from a sample

The asymptotic distribution of the sample median

Approximate quantiles from a stream

Discussion

Other quantifications

Advanced semantic analysis

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Map overview Semantic statistics

Quantile

Nodes67
Edges66
Triples42
Avg. degree1.97
Density0.029851
Components1

How this topic connects Entity context

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Quantile

Top relations

related to Approximate quantiles from a stream · 9
Quantile → Both, Computing, If, KLL, Some, The, The KLL, These, With
related to Other quantifications · 7
Quantile → DD, IQR, Q1, Q3, QU, SP, Values
related to External links · 4
Quantile → Media, Quantiles, Wikimedia Commons, Wiktionary-logo-en-v2
related to Relationship to the mean · 4
Quantile → For, In, The, When
related to The asymptotic distribution of the sample median · 4
Quantile → Moreover, Normal, One, The
related to Examples · 3
Quantile → For, Nearest Rank, The
related to Quantiles of a population · 3
Quantile → As, For, That
related to Estimating quantiles from a sample · 2
Quantile → Modern, One
is a · 1
Quantile → data value where the cumulative distribution function crosses k/q
see also · 1
Quantile → Flashsort

Important terminology Word statistics

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Important terminology

quantiles sample values median distribution value data used mean algorithms estimate statistics methods population also see continuous quartiles percentile probability

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Quantileis adata value where the cumulative distribution function crosses k/q0.90text
those based on stochastic approximation or Hermite series estimators.These statistics based algorithms typically have constant update timeinstance ofThere are a number of such algorithms0.80text
space complexityinstance ofThere are a number of such algorithms0.80text
but have different error bound guarantees compared to computer science type methodsinstance ofThere are a number of such algorithms0.80text
make more assumptionsinstance ofThere are a number of such algorithms0.80text
Quantilerelated to Approximate quantiles from a streamComputing0.60section
Quantilerelated to Approximate quantiles from a streamThe0.60section
Quantilerelated to Approximate quantiles from a streamKLL0.60section
Quantilerelated to Approximate quantiles from a streamThese0.60section
Quantilerelated to Approximate quantiles from a streamBoth0.60section
Quantilerelated to Approximate quantiles from a streamIf0.60section
Quantilerelated to Approximate quantiles from a streamWith0.60section

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    Min side: 3
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