A modified test in flexibly shaped spatial scan statistic for detecting poverty hotspots

dc.contributor.advisor	Saefuddin, Asep
dc.contributor.advisor	Sartono, Bagus
dc.contributor.author	Krisna, Rio
dc.date.accessioned	2011-09-14T01:33:06Z
dc.date.available	2011-09-14T01:33:06Z
dc.date.issued	2008
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/50300
dc.description.abstract	A flexibly spatial scan statistic was proposed by Tango and Takahashi (2005) that can detect arbitmy shaped clusters (hotspots). In this research, a flexibly shaped spatial scan statistic will be applied to perform poverty hotspots detection in Bogor. Overall population of family in Bogor is 1,094,480 families and 29.44% of families who live in Bogor are categorized as poor family. The problem was flexibly spatial scan statistic use Poisson distribution in their calculation but the poverty rate was too high to be approached by Poisson distribution. In fact that Poisson must be constructed &om the number of trials is large and the probability of success is small.	en
dc.publisher	IPB (Bogor Agricultural University)
dc.subject	Bogor Agricultural University (IPB)	en
dc.subject	Poisson distribution	en
dc.subject	Bernoulli distribution	en
dc.title	A modified test in flexibly shaped spatial scan statistic for detecting poverty hotspots	en
dc.subject.keyword	Relative risk
dc.subject.keyword	Likelihood ratio test
dc.subject.keyword	Monte carlo hypothesis testing