A stratified random sampling method is preferred for selecting varied populations with outliers. As opposed to plain sampling, increases statistical precision by reducing estimator variance. Before the estimator's variance, stratum boundary identification and data apportionment must be solved. In this study, a Neyman allocation strategy used address determination issue in mixed populations. add...

A major challenge in network and service level agreement (SLA) management is to provide Quality of Service (QoS) demanded by heterogeneous network applications. Online QoS monitoring plays an important role in the process by providing objective measurements that can be used for improving network design, troubleshooting and management. Online QoS monitoring becomes increasingly difficult and com...

Shyness and loneliness both are very common in human being. Loneliness is often associated with a variety of personality characteristics which interfere with the formation of interpersonal relationship. In many studies it is found that shyness and loneliness are interrelated with each other. The present study was conducted on college students. The sample size consists of 60 college students (30...

PracTools is an R package with functions that compute sample sizes for various types of finite population sampling designs when totals or means are estimated. One-, two-, and three-stage designs are covered as well as allocations for stratified sampling and probability proportional to size sampling. Sample allocations can be computed that minimize the variance of an estimator subject to a budge...

internationally, employability has recently become an increasingly controversial issue in higher education. the emergence of knowledge-based economies, accompanied by the by-products of globalization, has forced agricultural higher education systems all around the world to think twice about the quantity and quality of their courses. on one hand, there has been a surplus of highly educated gradu...