Open Journal of Statistics

ISSN Print: 2161-718X    ISSN Online: 2161-7198

Call For Papers

    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:

     

    Submission Deadline

    August 31st, 2016

    Publication Date

    October 2016

     

    Guest Editor:

    Prof. Qihua Wang

    Chinese Academy of Sciences, China

     

    For further questions or inquiries

    Please contact Editorial Assistant at

    ojs@scirp.org