Dr. Meena Vazirani
ACADEMIC PROFILE

Assistant Professor

Statistics · Data Analysis · Research Methodology

SVKM’s Narsee Monjee College of Commerce and Economics, Mumbai

Explore Research

01 · About Me

Assistant Professor with academic experience in Statistics, Mathematics, Operations Research and Computer applications at undergraduate and postgraduate levels.

Ph.D. in Statistics. Research expertise includes Bayesian statistics, Bayesian computation, statistical modelling and reliability/life-testing models.

Current interests include research methodology, statistical data analysis, R, SPSS, AMOS, SmartPLS, Bayesian Structural Equation Modelling and consumer behaviour research.

02 · Teaching & Qualifications

Present Teaching Experience

SVKM’s Narsee Monjee College of Commerce and Economics, Mumbai

Teaching Operations Research, Mathematics, Statistics and Computers in B.Com.

Past Teaching Experience

Swami Vivekanand College of Science, Arts and Commerce

Teaching in self-finance courses.

Past Teaching Experience

ICFAI National College (Varanasi/Mumbai)

Teaching at postgraduate level.

Ph.D.

Statistics
Posterior Analysis for some Complex Failure Models

M.Sc.

Statistics

B.Sc.

Statistics

03 · Research

Bayesian Statistics

Bayesian Statistics and Bayesian Computation; posterior analysis and Gibbs sampling.

Statistical Modelling

Statistical Modelling and Reliability/Life-testing Models.

Research Methodology

Research Methodology and Quantitative Data Analysis.

Structural Equation Modelling

AMOS, SmartPLS and Bayesian SEM.

Consumer Behaviour

Customer Satisfaction and Repurchase Intention.

Applied Statistics

Applied Statistics using R and SPSS.

SPSS · SPSS AMOS · R · S-Plus · BlueSky Statistics · Excel · Power BI · VOSviewer · Zotero · Mendeley · SEM · Bibliometric Analysis · Systematic Literature Review

04 · Selected Publications

2001

Full Posterior Analysis of Three Parameter Lognormal Distribution Using Gibbs Sampler

Journal of Statistical Computation and Simulation, 71(3), 215–230.

2002

Bayesian Analysis of Inverse Weibull Type-2 Distribution via Gibbs Sampler

Progress of Mathematics, 31(1,2), 83–102.

2003

Choice Between Weibull and Lognormal Models: A Simulation Based Bayesian Study

Communications in Statistics, Theory and Methods, 32(2), 381–405.

2004

Bayesian Analysis of Generalised Four-Parameter Burr Distribution via Gibbs Sampler

Metron – International Journal of Statistics, 62(1), 115–135.

2007

Bayes Analysis of Three Parameter Pareto Distribution via Gibbs Sampler

The American Journal of Mathematical and Management Sciences, pp. 213–242.

2008

Posterior Analysis of Lognormal Regression Models Using Gibbs Sampler

Statistical Papers, 49, 59–85.

2020

Use of Statistical Tools to Study the Consumer Preference Over Green Products

International Journal of Creative Research Thoughts, 8(5), 1098–1103.

2022

Factors Influencing Customer Satisfaction and Repurchase Intention in Context of Online Grocery Shopping

International Journal of Research and Analytical Reviews, 9(3), 913–922.

2022

Factors Influencing Consumer's Perceived Risk and Online Consumer Buying Behaviour

IJFAN International Journal of Food and Nutritional Sciences, 11(3), 3241–3256.

2024

Impact of Artificial Intelligence on Consumer Behavior in Reference to Online Shopping

International Journal of Advanced Scientific Research and Management, 9(1), 9–18.

2025

Exploring the Potential of Bayesian Structural Equation Modelling in Consumer Behavior Analysis

International Journal of Innovative Research in Technology, 11(12), 9102–9106.

05 · Academic Activities & Development

Presented “Interest Rate Sensitivity of SME Loan Defaults in India: Regression Analysis (2020–25) Using SPSS” at NM’s Finance Symposium.

Participated in an International FDP on AI-powered Research Writing, Systematic Literature Reviews and Journal Publication.

Participated in a workshop on Data Analysis with R Studio and AI.

Completed a 20-hour hands-on certificate course in Power BI + AI.

Participated in the ICSSR capacity-building programme “GenAI for Excellence in Higher Education and Research”.

Completed an Artificial Intelligence short-term/FDP programme with A+ grade under the MMTT Programme, Kurukshetra University.

Participated in a Research Information Management System workshop at INFLIBNET Centre, Gandhinagar.

Participated in the FDP “Data Analytics: Theory to Applications” (AIU and Chitkara University).

Invited lectures, conferences and workshops include Primary Data Collection, Bayesian statistics, statistical inference, reliability, R Programming, SPSS, Multivariate Data Analysis, SEM using AMOS/SmartPLS, Research Methodology, Data Analytics, AI in Teaching and Research, MOOC development and research publication. In 2013, chaired a poster session and contributed as rapporteur at the ISBA Regional Meeting and International Workshop/Conference on Bayesian Theory and Applications.

06 · Contact & Profiles

Dr. Meena Vazirani

Assistant Professor
Statistics, Data Analysis & Research Methodology
SVKM’s Narsee Monjee College of Commerce and Economics, Mumbai

meenavazirani26@gmail.com