Results 221 to 230 of about 95,615 (253)

Conditional Akaike information criterion in the Fay–Herriot model

Statistical Methodology, 2013
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Akaike Information Criterion Statistics.

Journal of the Royal Statistical Society. Series A (Statistics in Society), 1988
Daniel G. Brooks, Y. Sakamoto, M. Ishiguro, G. Kitagawa   +3 more
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Selection of the Order of an Autoregressive Model by Akaike's Information Criterion

Biometrika, 1976
SUMMARY The asymptotic distribution is obtained of the order of regression selected by Akaike's information criterion in autoregressive models. The asymptotic quadratic risks of estimates of regression parameters are evaluated when the order is selected by this method. Some results of computational experiments are given.
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Hellinger distance and Akaike's information criterion for the histogram

Statistics & Probability Letters, 1993
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The choice of extremal models by Akaike's information criterion

Journal of Hydrology, 1985
Abstract We propose Akaike's information criterion for the choice of extremal models and by simulation we analyse its effectiveness in choosing the most likely among the Gumbel, Frechet and Weibull models.
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Bayesian derivation of Akaike's information criterion

1991
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Akaike’s Information Criterion (AIC) and the Third Variance

2013
One statistic in selecting a multiple regression equation is Mallows’ C p , which is an approximation of the error variance of the estimates given by a multiple regression equation. This error variance multiplied by n is written as $$\displaystyle\begin{array}{rcl} E{\Bigl [\sum _{i=1}^{n}{(\hat{y}_{ i} - E[y_{i}])}^{2}\Bigr ]}& =& E{\Bigl [{\bigl (
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Akaike Information Criterion

2022
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Akaike's information criterion and Schwarz's criterion [PDF]

Stata Technical Bulletin, 1999
Aurelio Tobias, Michael J. Campbell
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Uninformative Parameters and Model Selection Using Akaike's Information Criterion

Journal of Wildlife Management, 2010
Todd Arnold
exaly   +2 more sources