Associate Professor of Jaipuria Institute of Management, Lucknow, India
π Dr. Richa Srivastava is a distinguished researcher with extensive expertise in fuzzy systems, Bayesian analysis, and statistical modeling. π She has made significant contributions to the fields of cryptocurrency investment analysis, green cosmetic consumption, and pandemic-induced stress measurement. π Dr. Srivastava’s work has been published in several prestigious journals, including Technology in Society, the International Journal of Retail and Distribution Management, and the Journal of Public Affairs. π Her research on Bayesian parameter estimation and model selection for gallbladder cancer data, as well as her studies on modified Weibull distribution and Dirichlet prior hyperparameters, highlight her versatility and depth of knowledge in statistical applications. π With a passion for both theoretical and applied statistics, Dr. Srivastava continues to influence the academic community and provide valuable insights into complex data analysis challenges. π
Professional profile
Workshops and Seminars
Dr. Srivastava has organized and conducted numerous workshops and faculty development programs, showcasing her leadership and commitment to advancing knowledge in her field. Her role in organizing AICTE-sponsored programs indicates her ability to attract significant funding and engage a wide academic audience.
Professional ExperienceποΈ
Dr. Srivastava is currently an Assistant Professor at Jaipuria Institute of Management, where she has been since 2016. Her previous teaching roles at Babasaheb Bhimrao Ambedkar University and Lucknow University add to her extensive teaching experience.
Awards and Honorsπ
She has received several accolades, including the Best Faculty Award for Research Points and a cash prize for her paper at an international workshop. Her qualification in UGC-NET and JRF further attests to her academic prowess.
Publications top notedπ
- π Analysis of barriers to investment and mining in cryptocurrency for traditional and tech-savvy investors: A fuzzy approach
- ποΈ Authors: Srivastava, R., Singh, D.K., Rana, N.P.
- π
Year: 2024
- π Journal: Technology in Society, 77, 102546
- π Citations: 0
- π A fuzzy approach to determining antecedents to green cosmetic consumption in India
- ποΈ Authors: Srivastava, R., Sanjeev, M.A., Gupta, S.
- π
Year: 2024
- π Journal: International Journal of Retail and Distribution Management
- π Citations: 0
- π Comprehending and measuring pandemic induced stress among professionals due to lockdown and work from home
- ποΈ Authors: Srivastava, R., Gupta, S., Sanjeev, M.A.
- π
Year: 2022
- π Journal: Journal of Public Affairs, 22(S1), e2791
- π Citations: 7
- π Bayesian Parameter Estimation and Model Selection for Gallbladder Cancer Data of two Countries
- ποΈ Authors: Srivastava, R., Ranjan, R., Misra, H.
- π
Year: 2022
- π Journal: Journal of Statistics Applications and Probability, 11(1), pp. 251β263
- π Citations: 0
- π A Hierarchical Bayes Analysis and Comparison of PH Weibull and PH Exponential Models for One-Shot Device Testing Experiment
- ποΈ Authors: Sharma, R., Srivastava, R., Upadhyay, S.K.
- π
Year: 2021
- π Journal: International Journal of Reliability, Quality and Safety Engineering, 28(5), 2150036
- π Citations: 2
- π New modified Weibull distribution: Moment properties and Bayes analysis
- ποΈ Authors: Khan, M.A., Srivastava, R.
- π
Year: 2019
- π Journal: Journal of Statistics Applications and Probability, 8(3), pp. 181β188
- π Citations: 1
- π Subjective elicitation of hyperparameters of a conjugate Dirichlet prior and the corresponding Bayes analysis
- ποΈ Authors: Srivastava, R., Upadhyay, S.K., Shukla, V.K.
- π
Year: 2019
- π Journal: Communications in Statistics – Theory and Methods, 48(19), pp. 4874β4887
- π Citations: 2
