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Communications in Statistics - Theory and Methods Volume 15, 1986 - Issue 6
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Original Articles

Testable hypotheses in singular fixed linear models

Julio L. Peixoto Department of Quantitative Management Science, University of Houston - University Park, Houston, Texas, 77004
Pages 1957-1973 | Received 01 Sep 1985, Published online: 27 Jun 2007

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Lynn Roy LaMotte. (2014) The Gram-Schmidt Construction as a Basis for Linear Models. The American Statistician 68:1, pages 52-55.
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Jianhua Hu & Sarah Shi. (2008) On the Expressions of Estimability in Testing General Linear Hypotheses. Communications in Statistics - Theory and Methods 37:5, pages 782-790.
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Anant M. Kshirsagar. (1998) A non-testable linear hypothesis and its effective equivalent. Communications in Statistics - Theory and Methods 27:9, pages 2117-2122.
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Nai N. Chan & Tsz-Kit Keung. (1997) Linear hypotheses made explicit. Communications in Statistics - Theory and Methods 26:2, pages 387-400.
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Nai N. Chan & Li Kim-Hung. (1995) A matrix identity and its applications to equivalent hypotheses in linear models. Communications in Statistics - Theory and Methods 24:11, pages 2769-2777.
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JulioL. Peixoto. (1993) Incorrect F Formulas in Regression Analysis. The American Statistician 47:3, pages 194-197.
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Julio L. Peixoto. (1992) Four equivalent definitions of reparametrizations and restrictions in linear models. Communications in Statistics - Theory and Methods 22:1, pages 283-299.
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JulioL. Peixoto. (1990) A Property of Well-Formulated Polynomial Regression Models. The American Statistician 44:1, pages 26-30.
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Manuel del Rio. (1989) A coordinate-free approach to testable hypotheses. Communications in Statistics - Theory and Methods 18:9, pages 3493-3503.
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JulioL. Peixoto. (1987) Hierarchical Variable Selection in Polynomial Regression Models. The American Statistician 41:4, pages 311-313.
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Articles from other publishers (1)

Dietrich von Rosen. (1990) A matrix formula for testing linear hypotheses in linear models. Linear Algebra and its Applications 127, pages 457-461.
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