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 ...

The first step in conducting a regression-based study is to specify a model. In real applications, this is usually the most challenging step - deciding which variables “belong” in the model and which ...

This article ( original research paper) proposes a systematic regression-based fundamental equity valuation model that can potentially be applied in areas such as quantitative finance and machine ...

Economists develop economic models to explain consistently recurring relationships. Their models link one or more economic variables to other economic variables. For example, economists connect the ...

The estimates for the House of Representatives come from a model, not just from a survey result. The difference between the two is that while a survey attempts to measure the whole of something by ...

This is a preview. Log in through your library . Abstract Aim: The objective of this paper is to obtain a net primary production (NPP) regression model based on the geographically weighted regression ...

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Cierra Murry is an expert in banking, credit ...