Statistical Modeling for Unemployment Rates using Nonparametric Geographically Weighted Regression with Truncated Spline Approach. International Conference on Robust Statistics (ICORS) 2017, National Institute For Applied Statistics Research Australia

Please use this identifier to cite or link to this item: http://repository.unmul.ac.id/handle/123456789/2466

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DC Field	Value	Language
dc.contributor.author	Sifriyani, Sifriyani
dc.date.accessioned	2019-11-20T09:54:34Z	-
dc.date.available	2019-11-20T09:54:34Z	-
dc.identifier.uri	http://repository.unmul.ac.id/handle/123456789/2466	-
dc.description.abstract	National Institute For Applied Statistics Research Australia Website : https://niasra.uow.edu.au/content/groups/public/@web/@inf/@math/documents/mm/uow236260.pdf
dc.title	Statistical Modeling for Unemployment Rates using Nonparametric Geographically Weighted Regression with Truncated Spline Approach. International Conference on Robust Statistics (ICORS) 2017, National Institute For Applied Statistics Research Australia
Appears in Collections:	Yunita Rahma

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