Yes I know the work of Jacqmin-Gadda et al. (1997) which proposes the use of a new statistic T. However, more recent work of Lin and Zhang (2007) uses the test of Moran's I to access the autocorrelation of residuals. I'm more interested in using this approach, which has been used by several authors. The question would be if I should calculate the test using a sparse matrix (lm.morantest) since it's on residuals or if I should calculate it by the normal way (moran.test) as suggested by Lin and Zhang (2007).
Many thanks for the reply. Regards, António Silva On Tue, Apr 20, 2010 at 11:15 AM, Roberto Patuelli <roberto.patue...@usi.ch> wrote: > Dear Antonio, > You may want to look at Jacqmin-Gadda et al. (1997), Tests of Geographical > Correlation with Adjustment for Explanatory Variables: An Application to > Dyspnoea in the Elderly, Statistics in Medicine 16, 1283-97. > Cheers > Roberto > > **************************** > > Dear list, > I'm interested in testing the spatial autocorrelation of the residuals > of an negative binomial generalized linear model (glm.nb) using > Moran's I test. > My question is about the best method to do this. Can I use the > function lm.morantest? Or is there another more appropriate way? > > Regards, > > Antonio Silva > > ******************** > Roberto Patuelli, Ph.D. > Istituto Ricerche Economiche (IRE) (Institute for Economic Research) > Università della Svizzera Italiana (University of Lugano) > via Maderno 24, CP 4361 > CH-6904 Lugano > Switzerland > Phone: +41-(0)58-666-4166 > Fax: +39-02-700419665 > Email: roberto.patue...@usi.ch > Homepage: http://www.people.lu.unisi.ch/patuellr > > _______________________________________________ > R-sig-Geo mailing list > R-sig-Geo@stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > _______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo
