Email: unnstatconference@unn.edu.ng: > +2348148172788

1ST INTERNATIONAL CONFERENCE ON STATISTICAL THEORY, METHODS AND APPLICATIONS - 2023

 

April 27 & 28  2023 (VIRTUAL)

Deadline For Submission of Abstracts: April 15th, 2023

ABOUT THE CONFERENCE: ICSTMA – 2023

International Conference on Statistical Theory, Methods and Applications (ICSTMA) is a new conference series of the Department of Statistics, University of Nigeria, Nsukka, Nigeria. It covers all areas of statistics and their applications.

The aim of ICSTMA is to bring together researchers from around the globe in the broad spectrum of statistical theory and methods, and their applications to all areas of research.

This maiden edition of ICSTMA will be held virtually between the 27th and 28th of April 2023.

 

Polycarp E. Chigbu – (Department of Statistics, University of Nigeria)

CONFERENCE FEATURES

Keynote Speech
⊗Invited Paper Presentations
Contributed Paper Presentations
Issuance of Certificate of presentation /participation

⊗A limited number of waivers of the conference registration fee exists for students only

( Application is required before the deadline with evidence of studentship  for consideration)

IMPORTANT DATES:

March 8, 2023

Deadline for students applying for waiving the registration fee

April 15, 2023

Deadline For Submission of Abstracts

Minimum of 7 days after submission until 25 April 2023

Notification of Acceptance/Rejection of Abstract

Until March 31, 2023

Early bird registration (with payment)

Until April 28, 2023

Normal Registration

Mbanefo S. Madukaife – (Co-Chair)

Uchenna C. Nduka – (Co-Chair)

Nnaemeka M. Eze – (Secretary)

Chinonso M. Eze – (Member)

Precious N. Ezra – (Member)

Write to us : 

 unnstatconference@unn.edu.ng

 SUBMISSION OF ABSTRACTS

Call is Now Open for Abstracts Submission

The abstracts must have a suitable title, name(s) of the author(s), affiliation(s) of the author(s), email address of the corresponding author, a maximum of 250 words of the abstract texts, and a maximum of five keywords.

The abstracts must be submitted as either an MS word or a PDF file.