Results 101 to 110 of about 18,958 (230)
What Belongs Where? Variable Selection for Zero-Inflated Count Models with an Application to the Demand for Health Care [PDF]
This paper develops stochastic search variable selection (SSVS) for zero-inflated count models which are commonly used in health economics. This allows for either model averaging or model selection in situations with many potential regressors.
Markus Jochmann
core
Rate statistics for radio noise from lightning [PDF]
Radio frequency noise from lightning was measured at several frequencies in the HF - VHF range at the Kennedy Space Center, Florida. The data were examined to determine flashing rate statistics during periods of strong activity from nearby storms. It was
Levine, D. M. +2 more
core +1 more source
Statistical Analysis of a Telephone Call Center: A Queueing-Science Perspective [PDF]
A call center is a service network in which agents provide telephone-based services. Customers that seek these services are delayed in tele-queues. This paper summarizes an analysis of a unique record of call center operations.
Anat Sakov +7 more
core
Shotgun cellular systems (SCSs) are stochastic models of wireless networks where base stations (BSs) are randomly deployed across spatial settings of dimension one, two, or three, under a Poisson point process (PPP).
Ali Mohammad Khodadoust +2 more
doaj +1 more source
As the primary collision patterns on China’s freeways, in-depth exploration of the influencing factors of rear-end and sideswipe crashes has long been crucial for implementing targeted countermeasures.
Jianluo Wei +4 more
doaj +1 more source
The Poisson-lognormal model as a versatile framework for the joint analysis of species abundances [PDF]
Julien Chiquet +2 more
openalex +1 more source
Poisson-Lognormal Mixed Model Based Estimation in Clustered Longitudinal Count Data Analysis
Poisson mixed models are useful for accommodating the overdispersion and correlations often observed among count data. These models are generated from the well-known independent Poisson model by adding normally distributed random effects to the linear predictor, and they are known as Poisson-log-normal mixed models.
openaire +1 more source
A Bayesian multilevel hidden Markov model with Poisson-lognormal emissions for intense longitudinal count data [PDF]
S. Mildiner Moraga, Emmeke Aarts
openalex +1 more source

