Multivariate Statistical Applications: Methods, Policy Insights, and SDG Assessment

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Bol Madhusmita Tripathy is a dedicated academician and researcher in the field of Statistics, with a strong focus on socio-economic data analysis and policy-oriented research. She has extensive experience in teaching and research, particularly in multivariate statistical methods and their applications in social sciences.Her academic interests lie in the application of advanced statistical techniques such as Principal Component Analysis, Factor Analysis, Structural Equation Modelling, and Bayesian methods to address complex socio-economic issues.

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Madhusmita Tripathy is a dedicated academician and researcher in the field of Statistics, with a strong focus on socio-economic data analysis and policy-oriented research. She has extensive experience in teaching and research, particularly in multivariate statistical methods and their applications in social sciences.Her academic interests lie in the application of advanced statistical techniques such as Principal Component Analysis, Factor Analysis, Structural Equation Modelling, and Bayesian methods to address complex socio-economic issues.


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Merk Scholars' Press
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