Special Issue on Statistical Hypothesis Testing

 

Hypothesis testing is refers to the method in which we select samples to learn more about characteristics in a given population. It is a systematic way to test claims or ideas about a group or population. The goal of hypothesis testing is to determine the likelihood that a population parameter, such as the mean, is likely to be true.

 

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

• Inferential statistics and hypothesis testing
• Methods of hypothesis testing
• Hypothesis testing and sampling distributions
• Testing a research hypothesis
• Making a decision
• Applications

 

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 specify the “Special Issue” under your manuscript title. The research field “Special Issue - Statistical Hypothesis Testing” should be selected during your submission.

 

Special Issue timetable:

 

 

Guest Editor:

Prof. Qihua Wang

Chinese Academy of Sciences, China

 

For further questions or inquiries

Please contact Editorial Assistant at

ojs@scirp.org