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68.224  Articles
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Despite being extremely frequent in the input, Spanish L3 articles pose one of the biggest challenges for Polish L1/English L2 students, even among the most advanced learners. However, little attention has been paid to the influence of task, especially si... see more

             Forecasting, in time series is an important in planning and making assumptions about future events using different statistical methods, and depends on estimating the value of a varia... see more

The high consumption activity done by the community is directly proportional to the increase of waste production. One of the problems of high waste production is the low public awareness of waste management. This is a problem encountered in big cities. Ga... see more

Licensing services is one of the forms of public services that important in supporting increased investment in Indonesia and is currently carried out by the Investment and Licensing Services Department. The problems that occur in general are the length of... see more

The aim of this study was to compare some estimation methods (LS, M, S, LTS and MM) for estimating the parameters of simple linear regression model in the presence of outlier and different sample size (10, 20, 30, 50 and 100). To compare methods, the effe... see more

 BPJS Kesehatan, which has been in existence for almost a decade, is still experiencing a deficit in the process of guaranteeing participants. One of the factors that causes this is a discrepancy in the claim process which tends to harm BPJS Kesehata... see more

En este artículo se evalúan las armónicas individuales de tensión como función de las armónicas individuales de corriente usando los análisis estadísticos de regresión lineal simple, regresión polinomial y regresión lineal múltiple. Para la selección del ... see more

The Information and Communication Technology (ICT) becomes a critical area to business success; organizations need to adopt additional measures to ensure the availability of their services. However, such services are often not planned, analyzed and monito... see more

With the prevalence of big data, we are able to implement simple Machine Learning techniques against datasets to solve many present issues. Utilizing the California Housing Prices dataset, we can apply linear regression models to forecast districts’ futur... see more

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