Stratified Sampling Method

Quasi Random Sampling for Operations Management

We look at the benefits of using a kind of quasi-random numbers to obtain more accurate results for a given number of simulation runs. We explore a sampling method with enhanced independence in multidimensional simulations by combining the ideas of stratified sampling and Latin Hypercube sampling. We test the new sampling method by comparing it with traditional stratified sampling and Latin Hyp...

Method of Fuzzy Ratio Estimate

This article develops a method of ratio estimate in fuzzy sense. By both the simple random sampling and stratified random sampling, we can obtain the ratio estimate in usual statistical sense. However, the sampling data may be ambiguous in some uncertain circumstance. To solve such kind of problem, we probe into the simple random sampling and stratified random sampling in fuzzy sense, obtain th...

Stratified Sampling Method

An evaluation of flow-stratified sampling for estimating suspended sediment loads

Flow-stratified sampling is a new method for sampling water quality constituents such as suspended sediment to estimate loads. As with selection-at-list-time (SALT) and time-stratified sampling, flow-stratified sampling is a statistical method requiring random sampling, and yielding unbiased estimates of load and variance. It can be used to estimate event yields or to estimate mean concentratio...

A stratified sampling technique based on correlation feature selection method for heart disease risk prediction system

In medical, data mining method can be utilized by the physicians to improve clinical diagnosis. In this paper a stratified approach named Correlation Feature Selection Stratified Sampling (CFS-SS) has been introduced. This method is applied to medical diagnosis heart disease risk prediction system. By using this proposed system the attributes are grouped together into homogenous sub groups, bef...