The Multiple Testing Issue in Geographically Weighted Regression

By A. R. da Silva, A. Stewart Fotheringham. 2016

146 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/8c91084caa19c8de2f82cc5301e705d3a2abe3d6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Taylor M. Oshan
2. A. Stewart Fotheringham

Citations in the corpus

• mgwr: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale (2018, background): “a correction to account for multiple dependent hypothesis tests has been developed [12].”