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Maximum likelihood and least squares estimation in linear and affine functional models

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Publication:1172348
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DOI10.1214/aos/1176345708zbMath0501.62020OpenAlexW2011067050MaRDI QIDQ1172348

S. Singh

Publication date: 1982

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1176345708


zbMATH Keywords

maximum likelihood estimatesmultivariate normal populationscommon covariance matrixconditional confidenceinner statistical inferencelogical priorsnew derivation of least squares estimates


Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Bayesian inference (62F15) Foundations and philosophical topics in statistics (62A01)


Related Items (3)

Frequency-domain system identification using non-parametric noise models estimated from a small number of data sets ⋮ Who's afraid of reduced-rank parameterizations of multivariate models? Theory and example ⋮ Asymptotic study of the multivariate functional model in the case of a random number of observations for each mean




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