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112.165  Articles
1 of 11.217 pages  |  10  records  |  more records»
In this paper, we introduce the new biased estimator to deal with the problem of multicollinearity. This estimator is considered a modification of Two-Parameter Ridge-Liu estimator based on ridge estimation. Furthermore, the superiority of the new estimat... see more

In this paper, we introduce new Stochastic Restricted Estimator for SUR model, defined by Stochastic  Restricted Liu Type  SUR estimator (SRLTSE) . The propose estimator has deal with multicollinearity in SUR model if there is a degree of uncert... see more

The more time people spend in nature, the happier they feel. But how consistent is this link, and what mechanisms might account for this beneficial effect of nature on wellbeing? The aim of the present study was to test one potential mechanism linking nat... see more

The quality of education depends highly  on the capacity of educational units in transforming the learners to gain added value, whether it is related to the aspects of thinking, taste, heart, and body. Among the components of education, teachers and ... see more

E-learning is an IT tool that facilitates learning process. In order to optimize its function, e-learning need to be evaluated. There are many indicators on evaluating e-learning such as voluntariness of use. This study aims to evaluate factors that impac... see more

Digital radiography incresingly is being applied in the fabrication industry. Compared to film- based radiography, digitally radiographed images can be acquired with less time and fewer exposures. However, noises can simply occur on the digital image resu... see more

This paper presents a new general family of estimators to estimate the population mean of study variable y in the presence of non-response when utilizing a known coefficient of variation of study variable y. The expressions for bias, mean squared error (M... see more

The present paper deals with a modified ratio estimator for estimation of population mean of the study variable when the population median of the auxiliary variable is known. The bias and mean squared error of the proposed estimator are derived and are co... see more

This paper deals with the problem of estimating the finite population mean using auxiliary information in simple random sampling. Firstly we have suggested a correction to the mean squared error of the estimator proposed by Gupta and Shabbir [On improveme... see more

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