Unified Least Squares Approach to Linear Estimation in a General Gauss–Markov Model
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Publication:5656260
DOI10.1137/0125065zbMath0244.62054OpenAlexW1995565692MaRDI QIDQ5656260
Publication date: 1973
Published in: SIAM Journal on Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1137/0125065
Related Items (10)
A master of the row space and the column space: The mathematical work of Sujit Kumar Mitra ⋮ The general Gauss-Markov model with possibly singular dispersion matrix ⋮ Special generalized inverse matrices connected with the theory of unified least squares ⋮ The nonunique shorted matrix ⋮ On the notion of orthogonal projection in a semi-Euclidean space ⋮ Rank invariance criterion and its application to the unified theory of least squares ⋮ Weighted least-squares and quasilikelihood estimation for categorical data under singular models ⋮ Projections under seminorms and generalized Moore Penrose inverses ⋮ Singular gauss‐markov models ⋮ Least squares theory for possibly singular models
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