Some early statistical contributions to the theory and practice of linear algebra
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Publication:1914228
DOI10.1016/0024-3795(95)00600-1zbMath0845.62048OpenAlexW2049889184MaRDI QIDQ1914228
Publication date: 18 September 1996
Published in: Linear Algebra and its Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0024-3795(95)00600-1
Linear regression; mixed models (62J05) History of statistics (62-03) History of mathematics in the 19th century (01A55) Basic linear algebra (15A99) History of linear algebra (15-03)
Related Items (3)
Determinacy in the Linear Model: Gauss to Bose and Koopmans ⋮ Rank/inertia approaches to weighted least-squares solutions of linear matrix equations ⋮ Matrix rank and inertia formulas in the analysis of general linear models
Cites Work
- On the history of the principle of least squares
- Note on Jordan elimination, linear programming and Tchebyscheff approximation
- A geometric property of the least squares solution of linear equations
- Linear unbiased approximators of the disturbances in the standard linear model
- Gauss and generalized inverses
- A. A. Markov's work on probability
- Gauss's first argument for least squares
- Cauchy and the spectral theory of matrices
- Characterizations of estimability in the general linear model
- Jackknife, bootstrap and other resampling methods in regression analysis
- R. J. Boscovich's work on probability
- Least Median of Squares Regression
- Unbiased L1and L∞estimation
- T. N. Thiele's Contributions to Statistics
- Karl Pearson and the Chi-Squared Test
- IV.—On Least Squares and Linear Combination of Observations
- A historical note on the method of least squares
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