Producing large enough quantities of high-quality transcriptions for accurate and reliable evaluation of an automatic speech recognition (ASR) system can be costly. It is therefore desirable to minimize the manual transcription work for producing metrics with an agreed precision. In this paper we demonstrate how to improve ASR evaluation precision using stratified sampling. We show that by alte...

According to the statistical random sampling method, estimation has been taken confidence interval into account in statistics due to the unknown probability for the deviations of point estimate. In terms of fuzziness or vagueness, confidence interval is defined as a range of numerical values, not a single value, so we have to discover an estimate for that interval at first. Based on the above-m...

In this article, we propose compromise allocations for multivariate stratified random sampling using the auxiliary attributes under non-response. We modified extended lexicographic goal programming technique and compared it with fuzzy goal programming and value function technique. We addressed the problem of compromise allocation when the auxiliary information is in the form of an auxiliary att...

background hiv/aids is one of the major public health problems and a barrier to the progress of human civilization that is considered as a big concern for people all around the world. premarital sexual abstinence is introduced as the most effective way to avoid hiv/aids. this study aimed to determine associated factors in the preventing behaviors of hiv/aids among young people using the extende...

background: sex education is one of the challenging areas of educational systems that has always been accompanied by many problems due to some obstacles and constraints. this has led to occurrence of many behavioral problems and deviations. the aim of this study was to determine the sex education gaps in university curriculum from the students' perspective. methods: this was a descriptive-...

A comparison is made between the variance of the estimator of the total of a variable obtained from both a simple and a stratified random sampling, in which the sample sizes of some strata are equal to the stratum population size. It is shown that in this case, the advantage of the stratified sample could depend on the sample size. The paper presents inequalities that determine, as a function o...

This study investigated principals’ leadership styles and teachers’ job performance in senior secondary schools in Ondo State, Nigeria. The study population comprised all the 281 secondary schools in the State. Out of this population, a sample of 240 senior secondary schools was taken and selected through the stratified random sampling technique. Out of the 7460 teachers (including principals) ...

High accuracy in cancer prediction is important to improve the quality of the treatment and to improve the rate of survivability of patients. As the data volume is increasing rapidly in the healthcare research, the analytical challenge exists in double. The use of effective sampling technique in classification algorithms always yields good prediction accuracy. The SEER public use cancer databas...

We propose a jackknife variance estimator for the population average from two, two-phase samples after imputation. The jackknife method has long been used to estimate and reduce bias, but has now become a valuable tool for variance estimation. We apply two different sampling methods, (simple random sampling and stratified random sampling) to derive jackknife variance estimators for the twosampl...

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...