Regression is a statistical tool used to understand and quantify the relation between two or more variables. Regressions range from simple models to highly complex equations. The two primary uses for ...

Environmental noise is prevalent and ubiquitous, particularly that from traffic in urban areas. 1 Noise has been associated with annoyance, cardiovascular disease, and impaired cognitive performance, ...

Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and ...

In this paper, we carry out an in-depth theoretical investigation of Bayesian inference for the Cox regression model. We establish necessary and sufficient conditions for posterior propriety of the ...

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This article develops five regression models to estimate pipeline construction component costs for different types of pipelines in different regions. Researchers have long used historical pipeline ...

Optimization seeks to find the best. It could be to design a process that minimizes capital or maximizes material conversion, to choose operating conditions that maximize throughput or minimize waste, ...

1 Australian Centre for Research into Injury in Sport and its Prevention, Federation University Australia, Vic 3350, Ballarat, Australia 2 Flinders Centre for Epidemiology and Biostatistics, School of ...