STRATIFIED SAMPLING IN STATUTORY AUDIT

Statistical correlation in stratified sampling

A new efficient technique to impose the statistical correlation when using the Monte Carlo type method for the statistical analysis of computational problems is proposed. The technique is based on the stochastic optimization method called Simulated Annealing. The comparison with other techniques presently used and intensive numerical testing showed the superiority and robustness of the method. ...

Stratified Sampling Method

Stratified Sampling Method

Stratified and Un-stratified Sampling in Data Mining: Bagging

Stratified sampling is often used in opinion polls to reduce standard errors, and it is known as variance reduction technique in sampling theory. The most common approach of resampling method is based on bootstrapping the dataset with replacement. A main purpose of this work is to investigate extensions of the resampling methods in classification problems, specifically we use decision trees, fr...

Scalable Simple Random Sampling and Stratified Sampling

Analyzing data sets of billions of records has now become a regular task in many companies and institutions. In the statistical analysis of those massive data sets, sampling generally plays a very important role. In this work, we describe a scalable simple random sampling algorithm, named ScaSRS, which uses probabilistic thresholds to decide on the fly whether to accept, reject, or wait-list an...