Special Issue on Statistical Sampling

In statistics, sampling is the selection of a subset (a statistical sample) of individuals from within a statistical population to estimate characteristics of the whole population. Two advantages of sampling are that the cost is lower and data collection is faster than measuring the entire population.

In this special issue, we intend to invite front-line researchers and authors to submit original research and review articles on statistical sampling. Potential topics include, but are not limited to:

• Survey sampling
• Sampling methods
• Probability sampling
• Random sampling
• Monte carlo sampling
• Bayesian estimation and sampling
• Sampling from databases
• Sampling and estimation
• Data collection

Authors should read over the journal’s For Authors carefully before submission. Prospective authors should submit an electronic copy of their complete manuscript through the journal’s Paper Submission System.

Please kindly notice that the “Special Issue” under your manuscript title is supposed to be specified and the research field “Special Issue – Statistical Sampling” should be chosen during your submission.

According to the following timetable:

OJS Editorial Office