In this project, the aim was to develop a predictive model using linear regression to estimate the amount of tips that would be received in a restaurant setting. By analyzing various factors such as ...

Last month we explored how to model a simple relationship between two variables, such as the dependence of weight on height 1. In the more realistic scenario of dependence on several variables, we can ...

Data is rarely so uniform and predictable that plotting data points creates a perfectly linear arrangement. Scatter charts might have wildly varying plots that create a seemingly random correlation ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Abstract: Generally, estimates are subject to errors. For a general linear data model, we study conditions for guaranteed error-free best linear unbiased estimation (BLUE) without prior information in ...

We study semiparametric varying-coefficient partially linear models when some linear covariates are not observed, but ancillary variables are available. Semiparametric profile least-square based ...