Predicting Pre-monsoon Thunderstorms--A Statistical View through Propositional Logic
dc.contributor.author | Chattopadhyay, Surajit | |
dc.date.accessioned | 2008-07-02T21:10:37Z | |
dc.date.available | 2008-07-02T21:10:37Z | |
dc.date.issued | 2002-12-21 | |
dc.identifier.citation | Chattopadhyay, Surajit. "Predicting Pre-monsoon Thunderstorms--A Statistical View through Propositional Logic." Solstice: An Electronic Journal of Geography and Mathematics, Volume XIII, Number 2. Ann Arbor: Institute of Mathematical Geography, 2002. Persistent URL (URI): http://hdl.handle.net/2027.42/60282 | en_US |
dc.identifier.issn | 1059-5325 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/60282 | |
dc.description.abstract | Thunderstorms very close to a monsoon and not so close to a monsoon are considered in this analysis. Some important predictors are considered. Pearson Correlation Coefficient and lag-1 autocorrelation coefficients are calculated to create necessary universes of discourse for propositional logic. The purpose is to make regression analysis more convenient for prediction of the pre-monsoon thunderstorm weather phenomenon. | en_US |
dc.format.extent | 181507 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | en_US |
dc.publisher | Institute of Mathematical Geography | en_US |
dc.relation.ispartofseries | Solstice, Volume XIII, Number 2 | en_US |
dc.subject | Predictor | en_US |
dc.subject | Pearson | en_US |
dc.title | Predicting Pre-monsoon Thunderstorms--A Statistical View through Propositional Logic | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Geography and Maps | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/60282/1/monsoon.pdf | |
dc.owningcollname | Mathematical Geography, Institute of (IMaGe) |
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