Iterative estimators of parameters in linear models with partially variant coefficients

• Autorzy: Shaolin Hu , Karl Meinke , Rushan Chen , Ouyang Huajiang
• Języki publikacji: EN

Abstrakty

EN

A new kind of linear model with partially variant coefficients is proposed and a series of iterative algorithms are introduced and verified. The new generalized linear model includes the ordinary linear regression model as a special case. The iterative algorithms efficiently overcome some difficulties in computation with multidimensional inputs and incessantly appending parameters. An important application is described at the end of this article, which shows that this new model is reasonable and applicable in practical fields.

Słowa kluczowe

EN

linear model; iterative algorithms; variant coefficients; parameter estimation

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2007
• Tom: 17
• Numer: 2
• Strony: 179-187

Daty

wydano

2007

poprawiono

2006-05-10

(nieznana)

2006-12-15

Twórcy

autor

Shaolin Hu

• Nanjing University of Science and Technology, 210071, Nanjing, China

autor

Karl Meinke

• Department of Computer Science, Royal Institute of Technology, Stockholm, 100-44, Sweden

autor

Rushan Chen

• Nanjing University of Science and Technology, 210071, Nanjing, China

autor

Ouyang Huajiang

• University of Liverpool, L69 3 GH, Liverpool, United Kingdom

Bibliografia

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