We implement the commands mstat and mtest to perform inference based on the M statistic introduce by Bonetti and Pagano (2005=, a statistic that can be used to compare the interpoint distance distribution across groups of observations. The descriptions of the commands are accompanied by examples of applications with real and simulated data. We run the test on the Alt and Vach grave site dataset (Manjourides, 2009, Distance Based Methods for Space Time Modelling of the Health of Populations [PhD dissertation, Harvard School of Public Health]) and reject the null hypothesis, in contradiction to other published analyses. We also show how to adapt the techniques to discrete datasets with more than one unit in each location. Finally, we report an extensive application on breast cancer data in Massachusetts; in the application, we show the compatibility of the M commands with Pisati’s spmap package.
M statistic commands: interpoint distance distribution analysis.
BONETTI, MARCO;
2011
Abstract
We implement the commands mstat and mtest to perform inference based on the M statistic introduce by Bonetti and Pagano (2005=, a statistic that can be used to compare the interpoint distance distribution across groups of observations. The descriptions of the commands are accompanied by examples of applications with real and simulated data. We run the test on the Alt and Vach grave site dataset (Manjourides, 2009, Distance Based Methods for Space Time Modelling of the Health of Populations [PhD dissertation, Harvard School of Public Health]) and reject the null hypothesis, in contradiction to other published analyses. We also show how to adapt the techniques to discrete datasets with more than one unit in each location. Finally, we report an extensive application on breast cancer data in Massachusetts; in the application, we show the compatibility of the M commands with Pisati’s spmap package.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
