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Quantile-parameterized distribution

A quantile-parameterized distribution (QPD) is a probability distributions that is directly parameterized by data. They were created to meet the need for easy-to-use continuous probability distributions flexible enough to represent a wide range of uncertainties, such as those commonly encountered in business, economics, engineering, and science. Because…

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Quantile-parameterized distribution

Nodes38
Edges37
Triples14
Avg. degree1.95
Density0.052632
Components1

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Quantile-parameterized distribution

Top relations

related to history · 11
Quantile-parameterized distribution → Because, CDF, For, Historically, However, In, Johnson, Moreover, Pearson, That, The
related to Definition · 3
Quantile-parameterized distribution → CDF, Keelin, Powley

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Important terminology

displaystyle distributions distribution function -1 data quantile qpds probability keelin qpd metalog shape cdf functions coefficients sum quantile-parameterized parameters parameterized

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Quantile-parameterized distributionrelated to DefinitionKeelin0.60section
Quantile-parameterized distributionrelated to DefinitionPowley0.60section
Quantile-parameterized distributionrelated to DefinitionCDF0.60section
Quantile-parameterized distributionrelated to historyThe0.60section
Quantile-parameterized distributionrelated to historyHistorically0.60section
Quantile-parameterized distributionrelated to historyPearson0.60section
Quantile-parameterized distributionrelated to historyJohnson0.60section
Quantile-parameterized distributionrelated to historyThat0.60section
Quantile-parameterized distributionrelated to historyIn0.60section
Quantile-parameterized distributionrelated to historyFor0.60section
Quantile-parameterized distributionrelated to historyHowever0.60section
Quantile-parameterized distributionrelated to historyCDF0.60section

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