Results 71 to 80 of about 3,306 (207)
An Analysis of the Number of Medical Malpractice Claims and Their Amounts. [PDF]
Starting from an extensive database, pooling 9 years of data from the top three insurance brokers in Italy, and containing 38125 reported claims due to alleged cases of medical malpractice, we use an inhomogeneous Poisson process to model the number of ...
Marco Bonetti +3 more
doaj +1 more source
Fire sprinkler systems are critical for fire safety, but their functionality can be impaired by seismic damage. This study develops new seismic fragility functions for acceleration‐sensitive damage requiring monitoring, maintenance, and repair in code‐compliant fire sprinkler piping systems, using experimental data from full‐scale experimental tests ...
Jitendra Bhatta +2 more
wiley +1 more source
BIVARIATE POISSON LOG-NORMAL REGRESSION MODELING ON THE NUMBER OF LEPROSY CASES IN INDONESIA
Bivariate Poisson regression is a method for modeling two correlated count response variables. However, standard Poisson models often assume equidispersion, which is frequently violated in real-world data due to overdispersion. To address this issue, the
Nasrah Sirajang +2 more
doaj +1 more source
Modeling the Frequency of Cyclists’ Red-Light Running Behavior Using Bayesian PG Model and PLN Model
Red-light running behaviors of bicycles at signalized intersection lead to a large number of traffic conflicts and high collision potentials. The primary objective of this study is to model the cyclists’ red-light running frequency within the framework ...
Yao Wu, Jian Lu, Hong Chen, Qian Wan
doaj +1 more source
ABSTRACT Using online job advertisement data improves the timeliness and granularity depth of analysis in the labor market in domains not covered by official data. Specifically, its variation over time may be used as an anticipator of official employment variations.
Pietro Giorgio Lovaglio +1 more
wiley +1 more source
ABSTRACT Understanding Neotropical megadiversity remains challenging due to fundamental taxonomic issues, including identifying and describing cryptic species and their distribution, and the limited knowledge of key factors driving biological diversification. Such challenges are especially prominent in diverse clades with high levels of cryptic species,
Felipe Camurugi +10 more
wiley +1 more source
Inference for double Pareto lognormal queues with applications [PDF]
In this article we describe a method for carrying out Bayesian inference for the double Pareto lognormal (dPlN) distribution which has recently been proposed as a model for heavy-tailed phenomena. We apply our approach to inference for the dPlN/M/1 and M/
Michael P. Wiper +3 more
core
ABSTRACT Limited knowledge of brocket deer distribution persists due to their elusive behavior and the morphological similarities among species. A population of red brocket deer (genus Mazama) was recently discovered in the Rio Doce State Park (PERD), a protected area within the Brazilian Atlantic Forest; however, species‐level identification was ...
Jeferson L. S. Freitas +4 more
wiley +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.
Noah Gans +7 more
core
In this article, we described a novel class of distributions that can be analyzed in complex and skewed real data sets. We called the proposed distribution as compound Poisson log-normal model, and it obtained by compounding the truncated Poisson and log-
Muqrin A. Almuqrin
doaj +1 more source

