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33.866  Articles
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Scientific literacy is a vital program for current generation of students in the whole world. The purpose of this study is to estimate the impact of students’ social behaviors on scientific literacy by using robust regression. A robust approach is applied... see more

 Hunger is one of the social issues that can be considered alarming all over the world. It has been a lingering problem  for generations even in rich countries. In the Philippines, Official government statistics show an increasing trend in hunge... see more

In this paper, the binary classification problem of multi-dimensional functional data is considered. To solve this problem a regression technique based on functional logistic regression model is used. This model is re-expressed as a particular logistic re... see more

Tourism is one of the most important component in the economic development strategy of many developing countries such as Turkey. The annual data set of Turkey (1986 - 2013), including the six factors affecting the tourist arrivals, is examined. The aim of... see more

There are several reasons why robust regression techniques are useful tools in sampling design. First of all, when stratified samples are considered, one needs to deal with three main issues: the sample size, the strata bounds determination and the sample... see more

This paper is about comparison of estimation regression function between nonparametric regression kernel using Nadaraya Watson estimator with simple linearregression. In addition, a long-time case study was given in obtaining the first job. The data used ... see more

The single index support vector regression model (SI-SVR) is a useful regression technique used to alleviate the problem of high-dimensionality. In this paper, we propose a robust variable selection technique for the SI-SVR model by using vital method to ... see more

Penelitian ini bertujuan untuk: (1) memperoleh hasil estimasi parameter pada data yang mengandung pencilan dengan menggunakan estimasi parameter regresi robust metode Least Trimmed Square (LTS); (2) memperoleh sistem persamaan regresi robust pada model Se... see more

The single index support vector regression model (SI-SVR) is a useful regression technique used to alleviate the problem of high-dimensionality. In this paper, we propose a robust variable selection technique for the SI-SVR model by using vital method to ... see more

1 of 3.388 pages  |  10  records  |  more records»