Results 61 to 70 of about 2,724 (87)
Detection and Phylogenetic Characterization of Canine Distemper Virus (<i>Morbillivirus canis</i>) in Wild Foxes and Badgers from Northern Italy in 2021-2026. [PDF]
Filippi A +11 more
europepmc +1 more source
Beta-Binomial Model for Count Data: An Application in Estimating Model-Based Oral Reading Fluency. [PDF]
Qiao X +4 more
europepmc +1 more source
Ethnic inequalities in respiratory virus epidemics in England: a mathematical modelling study
Robert A +7 more
europepmc +1 more source
Some of the next articles are maybe not open access.
A Negative Binomial Thinning-Based Bivariate INAR(1) Process
Statistica Neerlandica, 2020This article considers a bivariate INAR(1) process based on an extension of the negative binomial thinning operator by prespecifying the distribution of the innovations. The dependence is introduced through the innovation components. The existence, uniqueness, strict stationarity, ergodicity, and some probabilistic properties of the process are derived.
Xiaodong Fan, Dehui Wang
exaly +3 more sources
A Combined Geometric INAR(p) Model Based on Negative Binomial Thinning
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hassan S Bakouch +2 more
exaly +4 more sources
Negative Binomial Time Series Models Based on Expectation Thinning Operators
Journal of Statistical Planning and Inference, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Harry Joe
exaly +2 more sources
34 pages;5 ...
Liuquan Sun, Dehui Wang, Danshu Sheng
exaly +3 more sources
A seasonal geometric INAR process based on negative binomial thinning operator
Statistical Papers, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tian, Shengqi, Wang, Dehui, Cui, Shuai
openaire +2 more sources
An integer-valued threshold autoregressive process based on negative binomial thinning
Statistical Papers, 2016The authors study an integer-valued threshold autoregressive process based on negative binomial thinning operator (see [\textit{M. M. Ristić} et al., J. Stat. Plann. Inference 139, No. 7, 2218--2226 (2009; Zbl 1160.62083)]) which contains geometric counting series.
Yang, Kai +3 more
openaire +2 more sources
Communications in Statistics - Simulation and Computation, 2019
To better describe the characteristics of time series of counts such as overdispersion or structural change, in this paper, we redefines the integer-valued threshold autoregressive models based on ...
Xiaohong Wang +3 more
openaire +2 more sources
To better describe the characteristics of time series of counts such as overdispersion or structural change, in this paper, we redefines the integer-valued threshold autoregressive models based on ...
Xiaohong Wang +3 more
openaire +2 more sources

