The observation of randomness patterns serves as guidance for the craft of probabilistic modelling. The most used count models—Binomial, Poisson, Negative Binomial—are the discrete Morris’ natural exponential families whose variance is at most quadratic ...
Sandra Mendonça +3 more
doaj +1 more source
This study presents a novel suite of discrete trigonometric Burr–Hatke distributions, encompassing the discrete tangent Burr–Hatke (DTBH), discrete sine Burr–Hatke (DSBH), discrete cosine Burr–Hatke (DCBH), and discrete type II tangent Burr–Hatke ...
Caleb Nurideen Nambyn +3 more
doaj +1 more source
Correction to: A seasonal geometric INAR process based on negative binomial thinning operator [PDF]
Shengqi Tian, Dehui Wang, Shuai Cui
openaire +1 more source
An INAR(1) Model Based on Negative Binomial Thinning Operator with Serially Dependent Noise.
Mehrnaz Mohammadpour, Masoumeh Shirozhan
openaire +2 more sources
ZOTMPo-INAR(1) Process: Entropy and Modeling of Epidemiological Count Time Series Data. [PDF]
Awale M +5 more
europepmc +1 more source
Recent advancements in integer-valued autoregressive models for count data time series: A comprehensive review. [PDF]
Serrao V, Poojari S, Kamath A.
europepmc +1 more source
Not every gene is special: Modelling scale controls the false discovery rate when analysing high-throughput sequencing data. [PDF]
Dos Santos SJ +3 more
europepmc +1 more source
Regional Disparities in Domiciliary Dental-Care Utilization and Their Association with Pneumonia Mortality in Japan: An Ecological Study Using National Open Data. [PDF]
Lee K, Kawaguchi H.
europepmc +1 more source
An integer-valued spatial autoregressive model with application to COVID-19 counts. [PDF]
Yang K, Jia M, Dong X.
europepmc +1 more source
Five-year structural changes in severe high myopia: the role of choroidal and retinal thickness. [PDF]
Kwak JJ +4 more
europepmc +1 more source

