Dr  Ravi Kant Maurya

Department of Statistics, Mahatma Gandhi Kashi Vidyapith, Varanasi
ra**************@gmail.com
+91 941****902

Academic Qualification

B.Sc., M.Sc. and Ph.D. Statistics

Position held

1. Assistant Professor

Publications

1. Tiwari, A. K., Mishra, S., and Maurya, R. K. A Study of Relationship between Maternal Height and Fertility: Indian Concern. Indian Journal of Public Health Research & Development
2. Tiwari, A.K., Mishra, S and Maurya, R.K. Distribution of Agriculture Land in India: an Application of Gini Measure of inequality. Drishti (Annual Journal).
3. Tiwari, A.K., Mishra, S and Maurya, R.K. Measurement of Inequality and Study of Social Influence on Distribution of Land holding in India, IJSSR.
4. Tiwari, A. K., Maurya, R. K. and Patel, Vaishali. Socioeconomic Status Measurement Scale for Rural Population: A Caste-Wise Analysis. Demography of India.
5. Maurya, R. K., B.P. Singh., Tiwari, A. K., and Singh, A Probabilistic Study of Duration Post-partum Amenorrhea in rural Uttar Pradesh. Brazilian Journal of Biometrics.
6. Maurya, R. K., Pant, R., Kumar, A., Soni, R., Study of postpartum amenorrhea in Uttar Pradesh using exponential distribution for NFHS-5 data. Brazilian Journal of Biometrics.
7. Tiwari, A. K., Maurya, R. K. & Singh. P., Proximate Determinates of Fertility in India and Estimation of Total Fertility rate. Brazilian Journal of Biometrics.
8. Maurya, R. K., Tiwari, A. K., and Singh, Study of Post-partum Amenorrhea period and its Determinants: A Hazard Analysis Approach. Asian Perspectives on Public Health, Springer.
9. Maurya, R. K., Pal, S.K.; Soni, R., Pant, R., Kumar, A. and Kumar. P, Income Inequality among Males in Rural Uttar Pradesh: The Role of Caste and Religion in Mirzapur.

Experience

More than 8 years

Area of Specialization

Mathematical Demographic, Applied Statistics and Biostatistics

Membership of other Professional Associations

Nil

I am Ravi Kant Maurya, as a working Assistant Professor in MGKVP, Varanasi specializing in Statistics with a keen interest in biostatistics, survival analysis, demographic studies, and statistical modeling.