Analysing aggregated social data using variogram methods

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dc.contributor.author Pawitan, Gandhi
dc.date.accessioned 2020-12-04T09:01:01Z
dc.date.available 2020-12-04T09:01:01Z
dc.date.issued 2005
dc.identifier.other maklhsc551
dc.identifier.uri http://hdl.handle.net/123456789/11391
dc.description Makalah dipresentasikan pada International Statistics Conference. Institute of Mathematical Sciences, University of Malaya. Kuala Lumpur, 27-31 December 2005. p. 1-28. en_US
dc.description.abstract One factor should be considered in analyzing sample survey or other data is population structure – how the units of observations are arranged in the population. It has been recognize that the population is usually complex with different relationship in different subgroups of the population (Skinner, Holt, & Smith, 1989). This situation implies that it is hard to accept the classical assumptions of independence and identical distribution (IID), that many standard statistical methods are based on. Therefore classical Statistical Method – which usually assume the observations are IID – may be biased or inefficient. en_US
dc.language.iso en en_US
dc.publisher Institute of Mathematical Sciences, University of Malaya en_US
dc.title Analysing aggregated social data using variogram methods en_US
dc.type Conference Papers en_US


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