Citations (15)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (7)
Kimberly S. Weems, Kimberly F. Sellers & Tong Li. (2023) A flexible bivariate distribution for count data expressing data dispersion. Communications in Statistics - Theory and Methods 52:13, pages 4692-4718.
Read now
Read now
Jie Liu & Haixiang Zhang. (2022) First-order random coefficient INAR process with dependent counting series. Communications in Statistics - Simulation and Computation 51:6, pages 3341-3354.
Read now
Read now
Bing Su & Fukang Zhu. (2021) Comparison of BINAR(1) models with bivariate negative binomial innovations and explanatory variables. Journal of Statistical Computation and Simulation 91:8, pages 1616-1634.
Read now
Read now
Naushad Mamode Khan, Ashwinee Devi Soobhug & Zeinab Jannoo. (2021) Modeling road traffic accidents in Mauritius using clustered longitudinal COM-Poisson with gamma random effects. Communications in Statistics: Case Studies, Data Analysis and Applications 7:2, pages 113-127.
Read now
Read now
Isabel Silva, Maria Eduarda Silva & Cristina Torres. (2020) Inference for bivariate integer-valued moving average models based on binomial thinning operation. Journal of Applied Statistics 47:13-15, pages 2546-2564.
Read now
Read now
Yuvraj Sunecher, Naushad Mamode Khan & Vandna Jowaheer. (2020) BINMA(1) model with COM-Poisson innovations: Estimation and application. Communications in Statistics - Simulation and Computation 49:6, pages 1631-1652.
Read now
Read now
Yuvraj Sunecher, Naushad Mamode Khan, Ibrahim Koodoruth, Zeinab Jannoo, Smita Rampat, Vandna Jowaheer & Mohammad Arashi. (2018) Larceny trend in some areas of Mauritius via a bivariate INAR(1) model with dispersed COM-Poisson innovations. Communications in Statistics: Case Studies, Data Analysis and Applications 4:2, pages 69-81.
Read now
Read now
Articles from other publishers (8)
Yuvraj Sunecher & Naushad Mamode Khan. (2024) On Comparing and Assessing Robustness of Some Popular Non-Stationary BINAR(1) Models. Journal of Risk and Financial Management 17:3, pages 100.
Crossref
Crossref
Sunecher Yuvraj. (2022) Modelling the Number of Daily Stock Transactions Using a Novel Time Series Model. Modelling the Number of Daily Stock Transactions Using a Novel Time Series Model.
Cláudia Santos, Isabel Pereira & Manuel G. Scotto. (2019) On the theory of periodic multivariate INAR processes. Statistical Papers 62:3, pages 1291-1348.
Crossref
Crossref
Hassan S. Bakouch, Y. Sunecher, N. Mamode Khan & V. Jowaheer. (2020) A non‐stationary bivariate INAR(1) process with a simple cross‐dependence: Estimation with some properties. Australian & New Zealand Journal of Statistics 62:1, pages 25-48.
Crossref
Crossref
Yuvraj Sunecher, Naushad Mamode Khan, Miroslav M. Ristić & Vandna Jowaheer. (2019) BINAR(1) negative binomial model for bivariate non-stationary time series with different over-dispersion indices. Statistical Methods & Applications 28:4, pages 625-653.
Crossref
Crossref
Yuvraj Sunecher, Naushad Mamode Khan, Vandna Jowaheer, Marcelo Bourguignon & Mohammad Arashi. (2018) A Primer on a Flexible Bivariate Time Series Model for Analyzing First and Second Half Football Goal Scores: The Case of the Big 3 London Rivals in the EPL. Annals of Data Science 6:3, pages 531-548.
Crossref
Crossref
Naushad Mamode Khan, Vandna Jowaheer, Yuvraj Sunecher & Marcelo Bourguignon. (2018) Modeling longitudinal INMA(1) with COM–Poisson innovation under non-stationarity: application to medical data. Computational and Applied Mathematics 37:4, pages 5217-5238.
Crossref
Crossref
Petra N. Laketa, Aleksandar S. Nastić & Miroslav M. Ristić. (2017) Generalized Random Environment INAR Models of Higher Order. Mediterranean Journal of Mathematics 15:1.
Crossref
Crossref