Registration summary
ConferenceICMSMAS
ModeStandard / Physical
ParticipationListener
Registration fee$155.00
Bank charges (5.8%)$8.99
Total payable$163.99
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICMSMAS conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
