Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

In this paper optimal experimental designs for inverse quadratic regression models are determined. We consider two different parameterizations of the model and investigate local optimal designs with ...

Historical data and multiple nonlinear regressions allow the development of regional and national compressor station construction component cost estimation models, capable of estimating cost ...

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 ...

In random neighborhoods regression, you create an ensemble (collection) of several k-nearest neighbor regressor systems, each using a different subset of the source training data, and each with a ...