Likelihood-ratio Test: Likelihood-ratio test, Likelihood function, Probability distribution, Test statistic, Bayes factor, Likelihood principle, Score (statistics), Probability density function, Null hypothesis - Tapa blanda
Sinopsis
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, a likelihood ratio test is used to compare the fit of two models one of which is nested within the other.
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, a likelihood ratio test is used to compare the fit of two models one of which is nested within the other.
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Likelihood-ratio Test
Publicado por
Alphascript Publishing, 2010
ISBN 10: 6130617216
ISBN 13: 9786130617219
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In statistics, a likelihood ratio test is used to compare the fit of two models one of which is nested within the other. 68 pp. Englisch. Nº de ref. del artículo: 9786130617219
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Likelihood-ratio Test | Likelihood-ratio test, Likelihood function, Probability distribution, Test statistic, Bayes factor, Likelihood principle, Score (statistics), Probability density function, Null hypothesis
Impresión bajo demandaLibrería: preigu, Osnabrück, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Likelihood-ratio Test | Likelihood-ratio test, Likelihood function, Probability distribution, Test statistic, Bayes factor, Likelihood principle, Score (statistics), Probability density function, Null hypothesis | Frederic P. Miller (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786130617219 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 101322072
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