نتایج جستجو برای: respectively multiple regression models while using usft
تعداد نتایج: 5483847 فیلتر نتایج به سال:
Background: Two main issues that challenge model building are number of Events Per Variable and multicollinearity among exploratory variables. Our aim is to review statistical methods that tackle these issues with emphasize on penalized Lasso regression model. The present study aimed to explain problems of traditional regressions due to small sample size and m...
one of the most important goals for increasing recognition and treatment revenue is transmitting vital data to medical care team, more quickly. nowadays, use of new technologies for transmitting data will deploy more and more daily. in this article, for transmitting electrocardiogram, first we code the signal into a suite of codes, then we will use bluetooth technology to transmit data from off...
The variation of the ionospheric parameters has a crucial role in space weather, communication, and navigation applications. In this research, we analyze prediction performance three machine learning (ML) regression models, decision trees, random forest support vector algorithms for F2-layer critical frequency (f0F2), height peak electron density (hmF2), total content (TEC). hourly f0F2 hmF2 va...
In order to deal desertification phenomenon it is necessary to identify its producing and increases causes. For this purpose several studies conducted inside and outside the country that have been led to submit regional models.. Each of these models has different pattern and use different indicators which can lead to different results. In this study, Fakhrabad plain of Mehriz region by extent o...
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