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  • Search: subject:"hotelling's statistic"
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Year of publication
Subject
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Lawley-Hotelling statistic 2 Bartlett-Nanda-Pillai statistic 1 Estimation theory 1 Experiment 1 F statistic 1 MANOVA 1 Measurement error model 1 Multiple Regression 1 Multiple regression 1 Multivariate regression 1 Regression analysis 1 Regressionsanalyse 1 Reverse regression 1 Roy maximum root statistic 1 Schätztheorie 1 Simultaneous equations model 1 Spherical symmetry 1 Statistical error 1 Statistical method 1 Statistical theory 1 Statistische Methode 1 Statistische Methodenlehre 1 Statistischer Fehler 1 Wilks likelihood ratio statistic 1 biplot 1 canonical variate analysis 1 common seeds 1 discriminant analysis 1 experimental design 1 hotelling's statistic 1 linear hypothesis 1 metamodeling 1 simultaneous test 1 singular value decomposition 1 specification error 1 t statistic 1
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Undetermined 3
Type of publication
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Article 3
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 2 English 1
Author
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Calinski, Tadeusz 1 Dufour, Jean-Marie 1 Kang, Byunguk 1 Kleijnen, Jack P. C. 1 Lejeune, Michel 1
Published in...
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Journal of Multivariate Analysis 1 Journal of quantitative economics 1 Management Science 1
Source
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RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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Reverse regressions, symmetry and test distributions in linear models
Dufour, Jean-Marie; Kang, Byunguk - In: Journal of quantitative economics 20 (2022), pp. 71-99
Persistent link: https://www.econbiz.de/10013441607
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Canonical Analysis Applied to Multivariate Analysis of Variance
Lejeune, Michel; Calinski, Tadeusz - In: Journal of Multivariate Analysis 72 (2000) 1, pp. 100-119
parametric functions involved is equal to the Lawley-Hotelling statistic for testing the hypothesis under investigation. Thus …
Persistent link: https://www.econbiz.de/10005199489
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Regression Metamodels for Simulation with Common Random Numbers: Comparison of Validation Tests and Confidence Intervals
Kleijnen, Jack P. C. - In: Management Science 38 (1992) 8, pp. 1164-1185
Linear regression analysis is important in many fields. In the analysis of simulation results, a regression (meta)model can be applied, even when common pseudorandom numbers are used. To test the validity of the specified regression model, Rao (1959) generalized the F statistic for lack of fit,...
Persistent link: https://www.econbiz.de/10009214667
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