International Conference on Multivariate Statistical Methods in Applied Sciences - (ICMSMAS-26)


5th - 6th October, 2026 | Washington DC, USA

Multi-format (In-person/Virtual)

Submit for Presentation Attendee Registration Conference Brochure
Registration Options →

Explore conference registration categories designed for every mode of participation.

Home About Organizer Call For Paper Paper Submission Author Guidelines Registration Presentation Guidelines Organizing Committee Collaboration Agenda Do's and Dont's Invitation Letter Venue Contact Us

Important Dates

Pre-registration Deadline

5th September, 2026

Paper Submission Deadline

10th September, 2026

Last Date Of Registration

20th September, 2026

Date Of Conference

5th - 6th October, 2026

Downloads

Conference Flyer
Sample Abstract
Sample Full Paper

Call for Papers

The (ICMSMAS-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Statistics, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Multivariate statistical methods overview
  • Applications of multivariate analysis in research
  • Multivariate methods in health sciences
  • Statistical techniques for high-dimensional data
  • Multivariate regression analysis advancements
  • Principal component analysis applications
  • Factor analysis in social sciences
  • Cluster analysis and its applications
  • Multivariate methods in finance
  • Canonical correlation analysis techniques
  • Multivariate time series analysis
  • Ethics in multivariate statistical research
  • Applications of multivariate methods in marketing
  • Multivariate methods for environmental data
  • Statistical challenges in multivariate analysis
  • Multivariate analysis in machine learning
  • Recent developments in multivariate statistics
  • Multivariate methods in education research
  • Statistical software for multivariate analysis
  • Future directions in multivariate research

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.

Submit Your Paper Today Register Early & Reserve Your Slot