Cited by 4,027Statistical Methods and ApplicationsStatistical Methods and InferencePsychometric Methodologies and Testing

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Factor Analysis and AIC

Akaike, Hirotugu·1987·Springer Series in Statistics

DOI 10.1007/978-1-4612-1694-0_29

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A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
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Information Theory and an Extension of the Maximum Likelihood Principle
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Authors: Akaike, H.
Affiliations: The Institute of Statistical Mathematics (JP)
Corresponding author: Akaike, Hirotugu
Venue: Springer Series in Statistics
Publisher: Springer New York
Published: 1987
Pages: 371-386
ISSN: 0172-7397 (ISSN-L)
DOI: 10.1007/978-1-4612-1694-0_29
OpenAlex: W2078977693
Cited by: 4,027
References: 24
Citations by year: 2026: 8 · 2025: 14 · 2024: 19 · 2023: 51 · 2022: 62 · 2021: 191 · 2020: 214 · 2019: 227 · 2018: 188 · 2017: 203 · 2016: 200 · 2015: 241 · 2014: 248 · 2013: 233 · 2012: 213
FWCI: 43.81
Type: book chapter
Language: en
Open access: closed
Licence: www.springernature.com/gp/researchers/text-and-data-mining (tdm)
www.springernature.com/gp/researchers/text-and-data-mining (vor)
Locations: Springer series in statistics (publishedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Keywords: factor analysis, number of factors, Bayesian model selection, improper solutions, prior distributions, factor loadings, maximum likelihood estimation, autoregressive model order selection

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