SUR models applied to an environmental situation with missing data and censored values.
Sparks, Ross (2004)
Journal of Applied Mathematics and Decision Sciences
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Sparks, Ross (2004)
Journal of Applied Mathematics and Decision Sciences
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Anna Bartkowiak, Maria Jakimiec (1994)
Qüestiió
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Short-term prediction of solar flare activity using multiple regression methods was considered. The variables describing active regions the given day were used to predict the flare activity on the next day. Two groups of observational data covering the years 1988 and 1989 were dealt with. Some variants of the distance-based regression as proposed by Cuadras and Arenas (1990) appeared to be superior to the ordinary least squares method by describing more accurately the data sets under...
Steel, D.G., Tranmer, M., Holt, D. (2006)
Journal of Applied Mathematics and Decision Sciences
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Huang, Xingfang, Qiu, Peihua (2010)
Mathematical Problems in Engineering
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Sira Allende, Carlos Bouza, Isidro Romero (1995)
Qüestiió
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Robust estimation of the multiple regression is modeled by using a convex combination of Least Squares and Least Absolute Value criterions. A Bicriterion Parametric algorithm is developed for computing the corresponding estimates. The proposed procedure should be specially useful when outliers are expected. Its behavior is analyzed using some examples.
Meyer, Denny (1997)
Journal of Applied Mathematics and Decision Sciences
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Jitka Dupačová, Jozsef Abaffy, Marida Bertocchi, Marie Hušková (1997)
Kybernetika
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Kato, Risa, Shiohama, Takayuki (2009)
Journal of Probability and Statistics
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Philip J. Brown (1980)
Trabajos de Estadística e Investigación Operativa
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Important features of multivariate linear regression are emphasised and a selection of prior distributions discussed. Priors used by Brown and Zidek (1978) lead them to a class of 'empirical' Bayes shrinkage estimates. The strength of shrinkage is examined with respect to an election forecasting example where observations obtain one after another.