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58.699  Articles
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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

One of the major problem facing the data modelling at social area is multicollinearity. Multicollinearity can have significant impact on the quality and stability of the fitted regression model. Common classical regression technique by using Least Squares... see more

A functional central limit theorem for a sequence of partial sums processes of the least squares residuals of a spatial linear regression model in which the observations are sampled according to a probability measure is established. Under mild assumptions... see more

Analisis regresi linier berganda digunakan untuk mengukur pengaruh lebih dari satu variabel bebas (X) terhadap variabel terikat (Y). Estimasi parameter analisis regresi umumnya diselesaikan dengan OLS. Pada kenyataannya banyak ditemukan kasus bahwa data m... see more

A weak convergence of the sequence of partial sums processes of theresiduals (PSPR) when the observations are obtained from a multivariate spatiallinear regression model (SLRM) is established. The result is then applied in constructingthe rejection region... see more

The classical quadratic loss for the partially linear model (PLM) and the likelihood function for the generalized PLM are not resistant to outliers. This inspires us to propose a class of “robust-Bregman divergence (BD)” estimators of both the parametric ... see more

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

In the present study, bio-meteorological models for predicting olive-crop production in the southern Iberian Peninsula were developed. These covered a 16-year period: 1994-2009. The forecasting models were constructed using the partial least-squares regre... see more

In the present study, bio-meteorological models for predicting olive-crop production in the southern Iberian Peninsula were developed. These covered a 16-year period: 1994-2009. The forecasting models were constructed using the partial least-squares regre... see more

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