Geographically weighted regression (GWR) is a spatial statistical technique that extends conventional regression analysis by allowing relationships between variables to vary across space. Instead of ...

The currently used final height prediction methods are based on an estimate of the growth potential, which can be read from the Bayley-Pinneau tables once bone age (BA) and chronological age (CA) are ...

In a heteroscedastic linear regression model, the ordinary jackknife estimator of the asymptotic covariance matrix of the weighted least squares estimator is proved to be inconsistent. A modified ...

Andriy Blokhin has 5+ years of professional experience in public accounting, personal investing, and as a senior auditor with Ernst & Young. Thomas J Catalano is a CFP and Registered Investment ...

Following the comments by Moore and Zeigler on the analogy between the analysis of quantal responses and non-linear regression, the analogy between the former and linear weighted regression is ...