Learn how hedonic regression helps estimate factors affecting prices in real estate and consumer goods, aiding in precise ...

Artificial neural networks (ANNs) have found increasing usage in regression problems because of their ability to map complex nonlinear relationships. In recent years, ANN regression model applications ...

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 ...

Financial word of the day: Heteroscedasticity describes a situation where risk (variance) changes with the level of a ...

The standard linear regression model does not apply when the effect of one explanatory variable on the dependent variable depends on the value of another explanatory variable. In this case, the ...

Journal of the Royal Statistical Society. Series C (Applied Statistics) A linear model approach to estimate a set of familial correlations using the method of maximum likelihood is proposed when data ...

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 ...