نتایج جستجو برای: least square estimation

تعداد نتایج: 742597  

Journal: :DEStech Transactions on Engineering and Technology Research 2017

Journal: :Euler: Jurnal Ilmiah Matematika, Sains dan Teknologi 2023

Education is an important factor that can affect the development of a country and basic human need. To ensure continuous progress education, it necessary to pay attention results achievements education in Indonesia. In this research model, Partial Least Square Path Modeling (PLS PM) used explain relationship between outcomes quality dimensions provincial However, because there heterogeneity pop...

2001
Keiichi Funaki

We have already developed three kinds of time-varying complex AR (TV-CAR) parameter estimation algorithms for analytic speech signal, which are based on minimizing mean square error (MMSE), Huber's robust Mestimation and Instrumental Variable (IV) method. This paper presents novel robust TV-CAR model parameter estimation algorithms on the basis of a Generalized Least Square (GLS) and Extended L...

Journal: :journal of medical signals and sensors 0
mina jamshidia hossein rabbani zahra amini raheleh kafieh abbas ommani vasudevan lakshminarayanand

localizing the optic disc (od) in retinal fundus images is of critical importance, since it is very similar to hard exudates (found in pathology) in color and brightness. because of the importance of od localization in clinical applications, many techniques have been developed. in this paper, we present the results obtained from two methods, correlation and least square, to approximate the opti...

2012
Yeliz Mert Kantar Mehmet Kurban Fatih Onur Hocaoglu

In this paper, the different parameter estimation methods such as maximum likelihood method, least square method, weighted least square method, moments method, the method based on quantiles and maximum spacing method for the Weibull distribution which are widely accepted in wind power studies are presented and discussed. The effect of the selecting parameter estimation method on the estimation ...

1995
Jimmy Shinn-Hwa Wang Wayne Wei-Ming Dai

abstract This paper describes a novel approach to nd a tighter bound of the transformation of the Min-Max problems into the one of Least-Square Estimation. It is well known that the above transformation of one problem to the other can lead to the proof that their target functions linearly bound each other. However, this linear bound is not a tight one. In this paper, we prove that if we transfo...

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