Doing Least Squares: Perspectives from Gauss and Yule

DOI10.1111/j.1751-5823.1998.tb00406.xzbMath0902.62076OpenAlexW2056484295WikidataQ56113451 ScholiaQ56113451MaRDI QIDQ4391274

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Publication date: 14 December 1998

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1751-5823.1998.tb00406.x

zbMATH Keywords

projectioneliminationorthogonalisationpartial correlationGaussleast squares estimatesAitkenYule

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) History of mathematics in the 20th century (01A60) History of statistics (62-03) History of mathematics in the 19th century (01A55)

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“Generalized Measures of Correlation for Asymmetry, Nonlinearity, and Beyond”: Some Antecedents on Causality ⋮ Fisher and regression ⋮ The Language of the English Biometric School ⋮ Some Examples of Statistical Computing in France During the 19th Century ⋮ A robust quantitative comparison criterion of two signals based on the Sobolev norm of their difference ⋮ Minimizing the expected value of the asymmetric loss function and an inequality for the variance of the loss

Cites Work

• The establishment of functional analysis
• R. A. Fisher and multivariate analysis
• R. A. Fisher and the making of maximum likelihood 1912--1922
• Matrix Analysis
• Seasonal Adjustment of Economic Time Series and Multiple Regression Analysis
• On the History of the Use of Geometry in the General Linear Model
• XX.—On the Theory of Statistical Regression
• II.—On Fitting Polynomials to Data with Weighted and Correlated Errors
• IV.—On Least Squares and Linear Combination of Observations
• Applied regression analysis bibliography update 1992–93
• A historical note on the method of least squares
• THE GEOMETRY OF ESTIMATION
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