Ranked Set Sampling and Its Application in Quality Control

One of the keys to any Statistical inference is that the data involved be obtained via some formal mechanism that enables the experimenter to make valid judgments on the question(s) of interest. One of the most common mechanisms for obtaining such data is that of a simple random sample. Other more structured sampling designs, such as stratified sampling or probability sampling, are also available to help make sure that the obtained data collection provides a good representation of the population of interest. Any such additional structure of this type revolves around how the sample data themselves should be collected in order to provide an informative image of the larger population. With any of these approaches, once the sample items have been chosen the desired measurement(s) is collected from each of the selected items