HISTORY OF THE USE OF GEOMETRY IN THE GENERAL LINEAR-MODEL

[31] LINEAR SPACES AND MINIMUM VARIANCE UNBIASED ESTIMATION [J]. ANNALS OF MATHEMATICAL STATISTICS, 1971, 42 (02): : 691 - &

[32] SEELY J, 1970, ANN MATH STAT, V41, P1735, DOI 10.1214/aoms/1177696818

[33] LINEAR LEAST SQUARES REGRESSION [J]. ANNALS OF MATHEMATICAL STATISTICS, 1967, 38 (06): : 1679 - &

[34] Wikipedia, 2021, LINEAR REGRESSION

[35] ON BEST LINEAR ESTIMATION AND A GENERAL GAUSS-MARKOV THEOREM IN LINEAR MODELS WITH ARBITRARY NONNEGATIVE COVARIANCE STRUCTURE [J]. SIAM JOURNAL ON APPLIED MATHEMATICS, 1969, 17 (06) : 1190 - &

[36] ON CANONICAL FORMS NON-NEGATIVE COVARIANCE MATRICES AND BEST AND SIMPLE LEAST SQUARES LINEAR ESTIMATORS IN LINEAR MODELS [J]. ANNALS OF MATHEMATICAL STATISTICS, 1967, 38 (04): : 1092 - &

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[39] [No title captured]

[31] LINEAR SPACES AND MINIMUM VARIANCE UNBIASED ESTIMATION [J]. ANNALS OF MATHEMATICAL STATISTICS, 1971, 42 (02): : 691 - &

[32] SEELY J, 1970, ANN MATH STAT, V41, P1735, DOI 10.1214/aoms/1177696818

[33] LINEAR LEAST SQUARES REGRESSION [J]. ANNALS OF MATHEMATICAL STATISTICS, 1967, 38 (06): : 1679 - &

[34] Wikipedia, 2021, LINEAR REGRESSION

[35] ON BEST LINEAR ESTIMATION AND A GENERAL GAUSS-MARKOV THEOREM IN LINEAR MODELS WITH ARBITRARY NONNEGATIVE COVARIANCE STRUCTURE [J]. SIAM JOURNAL ON APPLIED MATHEMATICS, 1969, 17 (06) : 1190 - &

[36] ON CANONICAL FORMS NON-NEGATIVE COVARIANCE MATRICES AND BEST AND SIMPLE LEAST SQUARES LINEAR ESTIMATORS IN LINEAR MODELS [J]. ANNALS OF MATHEMATICAL STATISTICS, 1967, 38 (04): : 1092 - &

[37] [No title captured]

[38] [No title captured]

[39] [No title captured]