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Open Access Journal Article

Multivariate Statistical Analysis in Operations Research

by Michael Smith 1,*
1
Michael Smith
*
Author to whom correspondence should be addressed.
ORS  2021 3(2):21; https://doi.org/10.69610/j.ors.20210814
Received: 23 June 2021 / Accepted: 16 July 2021 / Published Online: 14 August 2021
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Abstract

The title "Multivariate Statistical Analysis in Operations Research" encapsulates the intersection of statistical methodologies and operational decision-making processes. This paper delves into the application of multivariate statistical techniques within the field of operations research (OR). Operations research involves the use of mathematical models, statistical analysis, and optimization methods to make decisions in complex systems. The integration of multivariate statistical analysis into OR provides a more comprehensive understanding of data relationships and improves decision-making outcomes. This paper discusses various multivariate techniques such as principal component analysis (PCA), factor analysis, cluster analysis, and regression analysis, highlighting their applicability in OR. The benefits of these techniques in solving complex problems, identifying patterns in data, and optimizing operational processes are emphasized. Additionally, the paper examines the challenges and limitations associated with the application of multivariate statistical methods in OR and proposes potential solutions to enhance their effectiveness. By offering insights into the practical implementation of these techniques, the paper aims to contribute to the advancement of operations research and decision-making practices.

Keywords: Multivariate Statistical Analysis; - Operations Research; - Principal Component Analysis (PCA); - Factor Analysis; - Cluster Analysis.;
Copyright: © 2021 by Smith. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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APA Style
Smith, M. (2021). Multivariate Statistical Analysis in Operations Research. Operations Research and Statistics, 3(2), 21. doi:10.69610/j.ors.20210814
ACS Style
Smith, M. Multivariate Statistical Analysis in Operations Research. Operations Research and Statistics, 2021, 3, 21. doi:10.69610/j.ors.20210814
AMA Style
Smith M. Multivariate Statistical Analysis in Operations Research. Operations Research and Statistics; 2021, 3(2):21. doi:10.69610/j.ors.20210814
Chicago/Turabian Style
Smith, Michael 2021. "Multivariate Statistical Analysis in Operations Research" Operations Research and Statistics 3, no.2:21. doi:10.69610/j.ors.20210814

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ACS Style
Smith, M. Multivariate Statistical Analysis in Operations Research. Operations Research and Statistics, 2021, 3, 21. doi:10.69610/j.ors.20210814
AMA Style
Smith M. Multivariate Statistical Analysis in Operations Research. Operations Research and Statistics; 2021, 3(2):21. doi:10.69610/j.ors.20210814
Chicago/Turabian Style
Smith, Michael 2021. "Multivariate Statistical Analysis in Operations Research" Operations Research and Statistics 3, no.2:21. doi:10.69610/j.ors.20210814
APA style
Smith, M. (2021). Multivariate Statistical Analysis in Operations Research. Operations Research and Statistics, 3(2), 21. doi:10.69610/j.ors.20210814

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