In this paper, we suggest an exponential type estimator for estimating population mean under simple random sampling without replacement and also utilize this estimator for missing data under varied imputation techniques. ...

When we talk about small domain problems, the sample regression method is extensively used to build up Small Area Statistics. It is brought out that this method is a special case of the Theory of Successive Sampling. This ...

We propose a generalized class of estimators for finite population variance using the auxiliary variable as well as rank of the auxiliary variable in stratified sampling. We identify many estimators as special cases of ...

Nadaraya-Watson (NW) estimator with fixed bandwidth and its adaptive forms with varying bandwidths are widely used kernel regression estimators in nonparametric regression. In this paper, we propose a generalized class of ...

GMM estimators properties for panel data have been very well known in the econometric literature and it has been observed that for small sample cases, they perform well. The OLS (Ordinary Least Squares) is not applicable ...

As fewer samples are meaningless and lead to fallacious conclusions, researchers are used to calculate minimum sample size before the conduct of any study. Although the larger samples can yield more accurate results, an ...

The techniques of asymptotic mean integrated squared error’s reduction in kernel density estimation is the focus of this paper. The asymptotic mean integrated squared error (AMISE) is an optimality criterion function that ...

In this paper, we have proposed two log- product -type estimators and a new estimator for estimation of finite population mean under measurement error by using auxiliary information. The expressions for Bias and mean ...

In this paper, exponential ratio and product type estimators for population mean of study character using known population proportion of auxiliary attribute in the presence of non-response have been proposed. The expressions ...

Software usage has been dealing major parts in all the activities of individuals as well as organizations. Software users expecting the good and reliable software. There are many approaches in Software reliability studies ...