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| Action | Date | Notes | Link |
|---|---|---|---|
| article html file updated | 3 December 2025 03:48 CET | Original file | https://www.mdpi.com/2813-0324/11/1/34/html |
Cite
Sunecher, Y.; Khan, N.M.; Irshad, M.R.; Pretorius, H.W. Modelling Crime Data Using the Non-Stationary Bivariate Integer-Valued Autoregressive (BINAR(1)) Models with Poisson-Lindley (PL) Innovations. Comput. Sci. Math. Forum 2025, 11, 34. https://doi.org/10.3390/cmsf2025011034
Sunecher Y, Khan NM, Irshad MR, Pretorius HW. Modelling Crime Data Using the Non-Stationary Bivariate Integer-Valued Autoregressive (BINAR(1)) Models with Poisson-Lindley (PL) Innovations. Computer Sciences & Mathematics Forum. 2025; 11(1):34. https://doi.org/10.3390/cmsf2025011034
Chicago/Turabian StyleSunecher, Yuvraj, Naushad Mamode Khan, Muhammed Rasheed Irshad, and Hendrik Willem Pretorius. 2025. "Modelling Crime Data Using the Non-Stationary Bivariate Integer-Valued Autoregressive (BINAR(1)) Models with Poisson-Lindley (PL) Innovations" Computer Sciences & Mathematics Forum 11, no. 1: 34. https://doi.org/10.3390/cmsf2025011034
APA StyleSunecher, Y., Khan, N. M., Irshad, M. R., & Pretorius, H. W. (2025). Modelling Crime Data Using the Non-Stationary Bivariate Integer-Valued Autoregressive (BINAR(1)) Models with Poisson-Lindley (PL) Innovations. Computer Sciences & Mathematics Forum, 11(1), 34. https://doi.org/10.3390/cmsf2025011034