Recent research advocates applying sampling to accelerate microarchitecture simulation. Simple random sampling offers accurate performance estimates (with a high quantifiable confidence) by taking a large number (e.g., 10,000) of short performance measurements over the full length of a benchmark. Simple random sampling does not exploit the often repetitive behaviors of benchmarks, collecting ma...

Supporting sampling in the presence of joins is an important problem in data analysis. Pushing down the sampling operator through both sides of the join is inherently challenging due to data skew and correlation issues between output tuples. Joining simple random samples of base relations typically leads to results that are non-random. Current solutions to this problem perform biased sampling o...

The main objective of this study is to come to know the fact that which level of the three levels of managers (Top, Middle and Low Level) has more participation in applying e-commerce in the organization. Another purpose of the study is to know that how many people are employed as IT personal in the Indian small and medium enterprises? In this study we used Stratified Random Sampling to collect...

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...

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...