| The inverse Lindley distribution: a stress-strength reliability model with application to head and neck cancer data VK Sharma, SK Singh, U Singh, V Agiwal Journal of Industrial and Production Engineering 32 (3), 162-173, 2015 | 222 | 2015 |
| The inverse Lindley distribution: A stress-strength reliability model VK Sharma, SK Singh, U Singh, V Agiwal arXiv preprint arXiv:1405.6268, 2014 | 14 | 2014 |
| Statistical theory and practice of the inverse power Muth distribution C Chesneau, V Agiwal Journal of Computational Mathematics and Data Science 1, 100004, 2021 | 11 | 2021 |
| Study of the trend pattern of COVID-19 using spline-based time series model: a Bayesian paradigm J Kumar, V Agiwal, CY Yau Japanese Journal of Statistics and Data Science 5 (1), 363-377, 2022 | 10 | 2022 |
| A discrete analogue of Teissier distribution: Properties and classical estimation with application to count data B Singh, V Agiwal, AS Nayal, A Tyagi Reliability: Theory & Applications 17 (1 (67)), 340-355, 2022 | 9 | 2022 |
| Bayesian Estimation of Stress Strength Reliability from Inverse Chen Distribution with Application on Failure Time Data V Agiwal Annals of Data Science 10, 317–347, 2023 | 8 | 2023 |
| Statistical modeling of COVID-19 pandemic stages worldwide R Datta, PK Trivedi, A Kumawat, R Kumar, I Bhardwaj, N Kumari, V Agiwal, ... Preprints, 2020 | 7 | 2020 |
| Weighted Lindley multiplicative regression frailty models under random censored data S Tyagi, A Pandey, V Agiwal, C Chesneau Computational and Applied Mathematics 40, 1-24, 2021 | 6 | 2021 |
| Prevalence of refractive errors among school-going children in a multistate study in India E Joseph, CK Meena, R Kumar, M Sebastian, CM Suttle, N Congdon, ... British Journal of Ophthalmology 108 (1), 143-151, 2024 | 5 | 2024 |
| Study the trend pattern in COVID-19 using spline-based time series model: a bayesian paradigm V Agiwal, J Kumar, YC Yip | 5 | 2020 |
| Bayesian Unit Root Test for AR (1) Model with Trend Approximated J Kumar, V Varun, D Kumar, A Chaturvedi Statistics, Optimization & Information Computing 8 (2), 425-461, 2020 | 4 | 2020 |
| Modeling and Prediction of COVID-19 Outbreak in India S Kumar, V Agiwal, J Kumar, A Kumar Advances in Health and Disease, 59-77, 2021 | 3 | 2021 |
| A BAYESIAN INFERENCE OF MULTIPLE STRUCTURAL BREAKS IN MEAN AND ERROR VARIANCE IN PANEL AR (1) MODEL V Agiwal, J Kumar, DK Shangodoyin STATISTICS IN TRANSITION new series 19 (1), 7-23, 2018 | 3 | 2018 |
| Bayesian Inference of C-AR(1) Time Series Model with Structural Break J Kumar, A Kumar, V Agiwal, DK Shangodoyin Afrika Statistika 12 (3), 1467–1479, 2017 | 3 | 2017 |
| Bayesian estimation for threshold autoregressive model with multiple structural breaks V Agiwal, J Kumar Metron 78 (3), 361-382, 2020 | 2 | 2020 |
| Bayesian estimation for fully shifted panel AR (1) time series model J Kumar, V Agiwal Thai Journal of Mathematics, 167-183, 2019 | 2 | 2019 |
| Design and delivery of the Refractive Errors Among Children (REACH) school-based eye health programme in India A Sil, P Aggarwal, S Sil, A Mitra, E Jain, S Sheeladevi, GVS Murthy Clinical and Experimental Optometry 106 (8), 859-868, 2023 | 1 | 2023 |
| Prevalence of germline mutations in women with breast and/or ovarian cancer in a tertiary care center in Pune, India SS Kulkarni, S Nag, A Patra, HB Pant, V Agiwal, AY Nirupama, ... International Journal of Molecular and Immuno Oncology 8 (2), 65-71, 2023 | 1 | 2023 |
| Bayesian and frequentist estimation of stress-strength reliability from a new extended Burr XII distribution: Accepted: March 2023 V Agiwal, S Tyagi, C Chesneau REVSTAT-Statistical Journal, 2023 | 1 | 2023 |
| Augmenting the referral pathway for retinal services among diabetic patients at Reiyukai Eiko Masunaga Eye Hospital, Nepal: a non-randomized, pre-post intervention study R Shrestha, P Singh, P Dhakwa, S Tetali, T Batchu, PS Thapa, V Agiwal, ... BMC Health Services Research 23 (1), 126, 2023 | 1 | 2023 |
Jitendra KumarProfessor, Central University of Rajasthan, Kishangarh, Ajmer, RajasthanVerified email at curaj.ac.in
