Hybrid Conferencee

International Conference on Multivariate Statistical Methods in Applied Sciences (ICMSMAS - 27)

29th - 30th January 2027 | Surat Thani, Thailand
Sample Abstract
Download
Conference Brochure
Sample Full Paper
Download
Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

Journal consideration and publication are subject to editorial review, peer review and applicable journal policies.

Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Surat Thani. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Surat Thani event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Surat Thani conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Surat Thani, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Surat Thani."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
Track 01

Advancements in Principal Component Analysis

This track will explore the latest methodologies and applications of Principal Component Analysis in various fields. Participants will discuss innovative techniques for dimensionality reduction and data interpretation.

Track 02

Innovations in Factor Analysis Techniques

This session focuses on recent developments in factor analysis, emphasizing its application in social sciences and market research. Attendees will share case studies that highlight the effectiveness of these techniques.

Track 03

Canonical Correlation Analysis in Multivariate Research

This track will delve into the applications of Canonical Correlation Analysis in understanding relationships between two multivariate sets. Researchers will present findings that demonstrate its utility in diverse scientific domains.

Track 04

Multivariate Regression: Theory and Applications

This session will cover advancements in multivariate regression techniques and their practical applications in various research areas. Participants will discuss model selection, interpretation, and validation strategies.

Track 05

Cluster Analysis: Methods and Applications

This track will examine the latest clustering methodologies and their applications in data mining and pattern recognition. Researchers will present innovative approaches to clustering in high-dimensional spaces.

Track 06

Structural Equation Modeling: New Frontiers

This session will focus on the evolving landscape of Structural Equation Modeling (SEM) and its applications in social and behavioral sciences. Participants will discuss advancements in model specification, estimation, and testing.

Track 07

Data Science and Multivariate Statistical Methods

This track will explore the intersection of data science and multivariate statistical methods, highlighting how these techniques enhance data analysis. Researchers will present case studies that illustrate the integration of statistical methods in data-driven decision-making.

Track 08

Applied Statistics in Health Sciences

This session will address the application of multivariate statistical methods in health sciences research. Participants will discuss case studies that demonstrate the impact of these techniques on public health and clinical outcomes.

Track 09

Computational Methods in Multivariate Analysis

This track will focus on the computational advancements that facilitate multivariate analysis in large datasets. Researchers will share insights on algorithm development and software tools that enhance statistical modeling.

Track 10

Multivariate Techniques in Environmental Studies

This session will explore the application of multivariate statistical methods in environmental research. Participants will discuss how these techniques can help in understanding complex ecological data.

Track 11

Emerging Trends in Multivariate Statistical Education

This track will examine the pedagogical approaches to teaching multivariate statistical methods in higher education. Educators will share innovative strategies and resources to enhance student engagement and understanding.