A Revision of <i>AIC</i> for Normal Error Models

Open Journal of Statistics

ISSN Print: 2161-718X
ISSN Online: 2161-7198
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"A Revision of AIC for Normal Error Models"
written by Kunio Takezawa,
published by Open Journal of Statistics, Vol.2 No.3, 2012

has been cited by the following article(s):

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[1]	Performance comparison between maximum likelihood estimation and variational method for estimating simple linear regression parameter ITM Web of Conferences, 2024 DOI:10.1051/itmconf/20246101010

[2]	Prediction with data from designed experimentation Communications in Statistics - Simulation and Computation, 2022 DOI:10.1080/03610918.2022.2069819

[3]	A novel ensemble model for predicting the performance of a novel vertical slot fishway Frontiers of Structural and Civil Engineering, 2020 DOI:10.1007/s11709-020-0664-x

[4]	An asymptotic equivalence of the cross-data and predictive estimators Communications in Statistics - Theory and Methods, 2019 DOI:10.1080/03610926.2018.1549258

[5]	A family of the adjusted estimators maximizing the asymptotic predictive expected log-likelihood Behaviormetrika, 2017 DOI:10.1007/s41237-016-0004-6

[6]	PREDICTIVE ESTIMATION OF A COVARIANCE MATRIX AND ITS STRUCTURAL PARAMETERS Journal of the Japanese Society of Computational Statistics, 2017 DOI:10.5183/jjscs.1706001_243

[7]	Learning Regression Analysis by Simulation 2014 DOI:10.1007/978-4-431-54321-3_5

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