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Dr. Richa Srivastava is an academician and researcher having more than 6 years of experience in the field of Statistics. At present, she is working as an Assistant Professor (Operations and Decision Sciences) at Jaipuria Institute of Management, Lucknow.

Her research papers have been extensively published in reputed refereed journals. She is also the reviewer of a referred journal ‘International Journal of Statistics in Medical Research. She has also attended and presented papers at various national and international conferences. She has delivered an invited talk in the International Workshop/Conference on Bayesian Theory and Applications (IWCBTA) and also won the second-best paper presentation award in IWCBTA, held in 2013. She is also associated with various academic bodies.

She has worked as a subject expert and guest faculty for Statistics in some reputed universities of Lucknow.

PhD, NET, M.Sc (Statistics)

Papers Published in Peer Reviewed Journals (ABDC, SCOPUS, and WoS)

Khan, M. A., & Srivastava, R. (2019). New modified Weibull distribution: Moment properties and Bayes analysis. Journal of Statistics Applications & Probability, 8(3), 181-188. https://doi.org/10.18576/jsap/080303

Roy, S., Sharma, P., Singh, K. K., & Srivastava, R. (2023). On a statistical model useful for demographics: Estimating the mean number of children ever born through the distribution of male births with an application to data from India. Journal of Reliability and Statistical Studies, 16(01), 57–80. https://doi.org/10.13052/jrss0974-8024.1613

Sharma, R., Srivastava, R., & Upadhyay, S. K. (2021). A hierarchical Bayes analysis and comparison of PH Weibull and PH exponential models for one-shot device testing experiment. International Journal of Reliability, Quality and Safety Engineering, 28(05). https://doi.org/10.1142/S0218539321500364

Srivastava, R., Gupta, S., & Sanjeev, M. A. (2022). Comprehending and measuring pandemic-induced stress among professionals due to lockdown and work from home. Journal of Public Affairs, 22(S1). https://doi.org/10.1002/pa.2791

Srivastava, R., Ranjan, R., & Misra, H. (2022). Bayesian parameter estimation and model selection for gallbladder cancer data of two countries. Journal of Statistics Applications & Probability, 11(1), 251-263. https://doi.org/10.18576/jsap/110119

Suman, P., Singh, D.K. & Srivastava, R. (2021). Fibre optic sensor enabled containment zone. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(3), 5156–5163. https://turcomat.org/index.php/turkbilmat/article/view/2068

Sumana, P., & Srivastava, R. (2021). Acoustic pattern recognition based digging detection using Bayesian network classifier. Turkish Journal of Computer and Mathematics Education, 12(10), 1320-1325. https://turcomat.org/index.php/turkbilmat/article/view/4392/3737

Book Chapters

Srivastava, R., & Sanjeev, M.A. (2023). Computational advancements and application of Bayesian techniques in marketing. In R.K. Misra, A. Shrivastava, & C. Sijoria (Eds.), Technology, Management and Business (Advanced Series in Management, Vol. 31) (pp. 189-200). Emerald Publishing Limited. https://doi.org/10.1108/S1877-636120230000031015

Sohail, M., Srivastava, R., & Gupta, S. (2023). An exploratory study of understanding consumer buying behaviour towards green cosmetics products in the Indian market. In V. Charles, P. Garg, N. Gupta, & M. Agarwal (Eds.), Data Analytics and Business Intelligence: Computational Frameworks, Practices, and Applications. CRC Press. https://doi.org/10.1201/9781003189640

Conference Papers

Generalized statistical model and parameter estimation for transportation modeling. International Conference on Recent Application of Statistical Techniques and Analysis (RASTA-2021). Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi [15-17 December 2021]

Bayesian Applications in Marketing. International Conference on Advances in Management and Technology (ICAMT-2022), Jaypee Business School, Noida, Uttar Pradesh [24-26 February 2022]