Dr. Richa Srivastava
PhD, NET, M.Sc (Statistics)
Assistant Professor
Chairperson PGDM(Financial Services)
Contact
Email: richa.srivastava@jaipuria.ac.in
Location: Jaipuria Lucknow
Research Areas
Bayesian Statistics, Regression Analysis, Data Analysis, Biostatistics.
Teaching Areas
Quantitative Analysis, Operations Research, Research Methodology, Econometrics, Statistical Inference, R Software
Biography
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.
Research
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, (), pp .
DOI: https://doi.org/10.13052/jrss0974-8024.1613
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), pp 181-193.
DOI: http://www.naturalspublishing.com/files/published/l5a227aq12gy52.pdf
Suman, P., & Srivastava, R. (2021). Acoustic Pattern Recognition Based Digging Detection using Bayesian Network Classifier. Turkish Journal of Computer and Mathematics Education, 12(10), pp 1320-1325.
DOI: https://turcomat.org/index.php/turkbilmat/article/view/4392
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), 2150036
DOI: https://doi.org/10.1142/S0218539321500364
Suman, P., Saxena, A., & Srivastava, R. (2021). Online Teaching and Learning in Management Education during Pandemic: Student's Perspective. Psychology & Education, 57(9), pp 5177-5189.
DOI: http://psychologyandeducation.net/pae/index.php/pae/article/view/2059
Suman, P., Singh, D. K., & Srivastava, R. (2021). Fibre optic sensor enabled containment zone. Turkish Journal of Computer and Mathematics Education, 12(3), pp 5156-5163.
DOI: https://turcomat.org/index.php/turkbilmat/article/view/2068/1795
Srivastava, R., Gupta, S., & Sanjeev, M. A. (2021). Comprehending and measuring pandemic induced stress among professionals due to lockdown and work from home. Journal of Public Affairs, 11(4), pp .
DOI: https://doi.org/10.1002/pa.2791
Khan, M. A., & Srivastava, R. (2019). New Modified Weibull Distribution: Moment Properties and Bayes Analysis. Journal of Statistics Applications and Probability, 8(3), pp 181-188.
DOI: http://www.naturalspublishing.com/Article.asp?ArtcID=20591
Srivastava, R., Upadhyay, S. K., & Shukla, V. K. (2018). Subjective Elicitation of Hyper parameters of a Conjugate Dirichlet Prior and the Corresponding Bayes Analysis. Communications in Statistics: Theory and Methods, 48(19), pp 4874-4887.
DOI: https://www.tandfonline.com/doi/abs/10.1080/03610926.2018.1500600?journalCode=lsta20
Srivastava, R., Upadhyay, S., & Shukla, V. (2016). Mutivariate Extension of Generalized Linear Model for Polytomous Data: A Bayes Study. Aligarh Journal of Statistics, 36(), pp 93-116.
DOI: https://api.amu.ac.in/storage/file/pdf/journals/ajstats/AJS%20Vol1016.pdf