Open Journal of Statistics

ISSN Print: 2161-718X

ISSN Online: 2161-7198

Website: http://www.scirp.org/journal/ojs/

Call For Papers

    Special Issue on Estimation Theory and Its Application


    Estimation theory is a branch of statistics and signal processing that deals with estimating the values of parameters based on measured/empirical data, which has a wide range of applications such as radar, sonar, communications, seismology, biomedical engineering, and radar astronomy.


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


    • Maximum likelihood estimators
    • Bayes estimators
    • Method of moments estimators
    • Cramér–Rao bound
    • Minimum mean squared error (MMSE)
    • Maximum a posteriori (MAP)
    • Minimum variance unbiased estimator (MVUE)
    • Best linear unbiased estimator (BLUE)
    • Unbiased estimators
    • Particle filter
    • Markov chain Monte Carlo (MCMC)
    • Kalman filter, and its various derivatives
    • Wiener filter


    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 –Estimation Theory and Its Application” should be chosen during your submission.


    According to the following timetable:


    Submission Deadline

    April 25th, 2017

    Publication Date

    June 2017


    Guest Editor:


    For further questions or inquiries

    Please contact Editorial Assistant at

    ojs@scirp.org