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A new First-Order mixture integer-valued threshold autoregr..:
Sheng, Danshu
;
Wang, Dehui
;
Sun, Liuquan
Journal of Statistical Planning and Inference. 231 (2024) - p. 106143 , 2024
Link:
https://doi.org/10.1016/j.jspi.2023.106143
RT Journal T1 <Title>A new First-Order mixture integer-valued threshold autoregressive process based on binomial thinning and negative binomial thinning</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.jspi.2023.106143&Exemplar=1&LAN=DE A1 Sheng, Danshu A1 Wang, Dehui A1 Sun, Liuquan PB Elsevier BV YR 2024 SN 0378-3758 JF Journal of Statistical Planning and Inference VO 231 SP 106143 LK http://dx.doi.org/https://doi.org/10.1016/j.jspi.2023.106143 DO https://doi.org/10.1016/j.jspi.2023.106143 SF ELIB - SuUB Bremen
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