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Iterative estimators of parameters in linear models with partially variant coefficients
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Tytuł: Iterative estimators of parameters in linear models with partially variant coefficients

Autor:

Hu, Shaolin ; Meinke, Karl ; Chen, Rushan ; Huajiang, Ouyang

Data wydania:

2007

Typ zasobu:

artykuł

Współtwórca:

Korbicz, Józef (1951- ) - red.

Tytuł publikacji grupowej:

AMCS, volume 17 (2007)

Abstract:

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.

Wydawca:

Zielona Góra: Uniwersytet Zielonogórski

Identyfikator zasobu:

oai:zbc.uz.zgora.pl:78647

DOI:

10.2478/v10006-007-0017-0

Strony:

179-187

Źródło:

AMCS, volume 17, number 2 (2007) ; kliknij tutaj, żeby przejść

Jezyk:

eng

Licencja CC BY 4.0:

kliknij tutaj, żeby przejść

Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego

Temat i słowa kluczowe:

linear model parameter estimation iterative algorithms variant coefficients

Kolekcje, do których przypisany jest obiekt:

Data ostatniej modyfikacji:

14 lip 2025

Data dodania obiektu:

2 kwi 2024

Liczba wyświetleń treści obiektu:

115

Wszystkie dostępne wersje tego obiektu:

https://zbc.uz.zgora.pl/repozytorium/publication/88401

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Nazwa wydania Data
Iterative estimators of parameters in linear models with partially variant coefficients 14 lip 2025

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