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Communications in Statistics - Theory and Methods Volume 50, 2021 - Issue 24
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Original Articles

Maximum likelihood estimation of the DDRCINAR(p) model

Xiufang Liua School of Mathematics, Jilin University, Changchun, PR ChinaView further author information
,
Dehui Wanga School of Mathematics, Jilin University, Changchun, PR ChinaORCID Iconhttps://orcid.org/0000-0002-9185-9034View further author information
ORCID Icon,
Dianliang Dengb Department of Mathematics and Statistics, University of Regina, Regina, Saskatchewan, CanadaCorrespondence[email protected]
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,
Jianhua Chenga School of Mathematics, Jilin University, Changchun, PR ChinaView further author information
&
Feilong Lua School of Mathematics, Jilin University, Changchun, PR ChinaView further author information
Pages 6231-6255 | Received 12 Jul 2019, Accepted 06 Mar 2020, Published online: 19 Mar 2020

Citations (5)

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Read on this site (2)

Xiufang Liu, Wenkun Zhang, Wenzheng Yin & Zhiwen Cheng. (2022) Maximum likelihood estimation of the SDMINAR(p) model to analyze some COVID-19 data. Communications in Statistics - Simulation and Computation 0:0, pages 1-24.
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Xiufang Liu, Wenzheng Yin, Wenkun Zhang & Huaping Chen. A mixed INAR(p) model with serially dependent innovation with application to some COVID-19 data. Communications in Statistics - Theory and Methods 0:0, pages 1-0.
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Articles from other publishers (3)

Xiufang Liu, Dehui Wang, Huaping Chen, Lifang Zhao & Liang Liu. (2024) A class of k th‐order dependence‐driven random coefficient mixed thinning integer‐valued autoregressive process to analyse epileptic seizure data and COVID‐19 data . Australian & New Zealand Journal of Statistics.
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Qi Li, Huaping Chen & Xiufang Liu. (2021) A New Bivariate Random Coefficient INAR(1) Model with Applications. Symmetry 14:1, pages 39.
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瑜 陈. (2021) Moment Estimation of the Po-RCMTINAR(1) Model. Advances in Applied Mathematics 10:06, pages 2217-2225.
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