Healthcare professionals spend much of their time wandering between patients and offices,
while the supportive technology stays stationary. Therefore, mobile applications has …

The exponential weighted moving average (EWMA) statistic is utilized the past information
along with the present to enhance the efficiency of the estimators used for estimating the …

The ordinary least square (OLS) method is commonly used in regression analysis. But in the
presence of outlier in the data, its results are unreliable. Hence, the robust regression …

The use of random sampling sustains the development of current statistical theory. In many
cases it is necessary to have some control of the units to be selected. The solution in classic …

In estimation theory, the researchers have put their efforts to develop some estimators of
population mean which may give more precise results when adopting ordinary least squares …

Problem statement: The present study attempts to identify the construct that impacts the
user's trust in e-Government initiative and its adoption in Palestinian public sector …

In this paper, we have proposed a new generalized robust estimators of population mean
under different ranked set sampling. Robust estimators are recently defined by Zaman and …

The existence of missing data in sample surveys reduces the efficiency of the estimators.
This paper is concerned with the use of imputation for dealing with this problem. The mean …

In this paper, we provide Bayesian estimation for the parameters of the Pareto distribution
based on simple random sample (SRS) and ranked set sampling (RSS) in two cases, one …

Sports injury is an issue that frequently occurs among athletes. The most common sports
injuries are ankle sprains. Hence, to overcome this problem, the National Sports Institute …