Spatial distribution based on semivariogram model

Pawitan, Gandhi

dc.contributor.author	Pawitan, Gandhi
dc.date.accessioned	2020-12-14T03:18:08Z
dc.date.available	2020-12-14T03:18:08Z
dc.date.issued	2009
dc.identifier.issn	2086-3128
dc.identifier.other	art48757
dc.identifier.uri	http://hdl.handle.net/123456789/11394
dc.identifier.uri	https://journal.uii.ac.id/JEP/article/view/2282/2081
dc.description	JURNAL EKONOMI PEMBANGUNAN; Vol.1 No.1 April 2009. p.27-35.	en_US
dc.description.abstract	This article aims to discuss some aspects in conducting inferential analysis of census data. In this analysis, the assumptions of normality and IID (independently and identically distribution) in the observations are no longer realistic. Hence conventional analyses which are based on these assumptions are invalid and unreliable. Other alternatives can be considered, such as semivariogram analysis. Semivariogram analysis assumes that observations are dependent geographically. The analysis is useful in understanding spatial distribution of characteristics under investigation.	en_US
dc.language.iso	en	en_US
dc.publisher	FACULTY OF ECONOMICS, UNIVERSITAS ISLAM INDONESIA	en_US
dc.subject	SEMIVARIOGRAM	en_US
dc.subject	AGGREGATION	en_US
dc.subject	AUTOCORRELATION	en_US
dc.subject	SPATIAL DISTRIBUTION	en_US
dc.subject	CENSUS	en_US
dc.subject	JEL CLASSIFICATION NUMBERS: C89, J11	en_US
dc.title	Spatial distribution based on semivariogram model	en_US
dc.type	Journal Articles	en_US