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• W2887398013 abstract "Useful vector space decompositions are introduced. The classical Gauss-Markov model is used to illustrate the application of space decompositions. The approach is extended to cover tensor space decompositions which is a basic tool when considering bilinear regression models. The decompositions are illustrated in figures where one can follow how maximum likelihood estimators are obtained by projecting on appropriate subspaces." @default.
• W2887398013 created "2018-08-22" @default.
• W2887398013 creator A5030741280 @default.
• W2887398013 date "2018-01-01" @default.
• W2887398013 modified "2023-09-27" @default.
• W2887398013 title "The Basic Ideas of Obtaining MLEs: Unknown Dispersion" @default.
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• W2887398013 doi "https://doi.org/10.1007/978-3-319-78784-8_3" @default.
• W2887398013 hasPublicationYear "2018" @default.
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