Open Journal of Statistics

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

Call For Papers

     Special Issue on Statistical Inference Methods

     

    Inferential statistics is the method of studying how to infer the characteristics of unknown objects in the form of probability on the basis of describing the sample data. A basic feature of statistical inference is that the conditions on which it is based contain random observation data with randomness. The basic problems of statistical inference can be divided into two categories: one is the parameter estimation problem; the other is the hypothesis testing problem. Statistical inference method has been widely used in modern statistics research.

     

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

     

    • Point estimation
    • Interval estimation
    • Statistical model
    • Probability statistics
    • Hypothesis testing problem
    • Parameter estimation problem
    • Properties of a Random Sample

     

    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 Inference Methods” should be chosen during your submission.

     

    According to the following timetable:

     

    Submission Deadline

    February 20th 2018

    Publication Date

    April 2018

     

    Guest Editor:

    For further questions or inquiries

    Please contact Editorial Assistant at

    ojs@scirp.org