A rank-invariant method of linear and polynomial regression analysis, 3; confidence regions for the parameters of polynomial regression equations

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Publisher	Stichting Mathematisch Centrum
Series	Stichting Mathematisch Centrum. Statistische Afdeling
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Theil, H. (1950). A rank-invariant method of linear and polynomial regression analysis, 3; confidence regions for the parameters of polynomial regression equations. Stichting Mathematisch Centrum. Statistische Afdeling. Stichting Mathematisch Centrum.

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inProceedings A rank-invariant method of linear and polynomial regression analysis, 3; confidence regions for the parameters of polynomial regression equations H. Theil
article A rank-invariant method of linear and polynomial regression analysis, 3; confidence regions for the parameters of polynomial regression equations H. Theil
inProceedings A rank-invariant method of linear and polynomial regression analysis, 3; confidence regions for the parameters of polynomial regression equations H. Theil
article A rank-invariant method of linear and polynomial regression analysis, 3; confidence regions for the parameters of polynomial regression equations H. Theil
inProceedings A rank-invariant method of linear and polynomial regression analysis, 3; confidence regions for the parameters of polynomial regression equations H. Theil
inProceedings A rank-invariant method of linear and polynomial regression analysis, 3; confidence regions for the parameters of polynomial regression equations H. Theil
article A rank-invariant method of linear and polynomial regression analysis, 3; confidence regions for the parameters of polynomial regression equations H. Theil
article A rank-invariant method of linear and polynomial regression analysis, 3; confidence regions for the parameters of polynomial regression equations H. Theil

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