Mathematical Statistics in Data Science
Submission Deadline: Aug. 15, 2020

This special issue currently is open for paper submission and guest editor application.

Join as Guest Editor Submit to Special Issue
Lead Guest Editor
Faculty of Computer and Mathematical Sciences, Forman Christian College A Chartered University, Lahore, Palestinian Territories
Guest Editors
  • Dr Mujahid Rasul
    Faculty of Computer and Mathematical Sciences, Forman Christian College A Chartered University, Lahore, Pakistan
  • Dr Sharoon Hanook
    Faculty of Computer and Mathematical Sciences, Forman Christian College A Chartered University, Lahore, Pakistan
  • Dr Hina Khan
    Department of Statistics, Government College University, Lahore, Pakistan
  • Dr Nadia Mushtaq
    Faculty of Computer and Mathematical Sciences, Forman Christian College A Chartered University, Lahore, Pakistan
  • Dr Itrat Batool Naqvi
    Faculty of Computer and Mathematical Sciences, Forman Christian College A Chartered University, Lahore, Pakistan
  • Dr Kalsoom Akhtar
    Department of Statistics, Kinnaird College for Women, Lahore, Pakistan
Guidelines for Submission
Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.
Papers should be formatted according to the guidelines for authors (see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=379). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.
Published Papers
The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.

Special Issue Flyer (PDF)

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Special Issue

Introduction
The special issue named “Mathematical Statistics in data science” under “International Journal of Statistical Distributions and Applications” focus to publish well-written original research articles and studies describing the latest research and developments in the field of probability and statistical distributions in data science. This is a broad-based issue covering all branches of mathematical statistics and interdisciplinary research. This issue specifically focusses on the disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science means everything that has been done on data and this issue means applications of mathematical statistics for effective use of field data, i.e. applied statistics with statistical distributions or mathematical statistics.
Scope and Purpose:
This issue dedicates to promoting the applications of statistical models and mathematical statistics in the field of reliability engineering, industrial quality, transportations equipment, biology, public health policy, clinical medicine, economics and social statistics. All submitted manuscripts will undergo normal review process and the publication decision will be adjudged by quality, novelty, suitability and interest.
The Topics of interest but not limited:
Statistics, probability models, statistical inference for:Biology; reliability; quality control; transportation; economics; medicine; public health policy; social statistics.
Aims and Scope:
This issue focusses the applications of statistics and mathematical statistics in the field of reliability engineering, industrial quality, transportations equipment, biology, public health policy, clinical medicine, economics and social statistics.
  1. Distribution theory
  2. Reliability engineering
  3. Biostatistics
  4. Data science
  5. Medicine
  6. Economics
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