Selang kepercayaan untuk koefisien B1 dari garis regresi apabila ragam galat tidak homogen dengan metode ols, wls dan bootstrap

Please use this identifier to cite or link to this item: http://repository.ipb.ac.id/handle/123456789/119306

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DC Field	Value	Language
dc.contributor.advisor	Mattjik, Ahmad Ansori	-
dc.contributor.advisor	Aunuddin, Aunuddin	-
dc.contributor.author	Fauzy, Akhmad	-
dc.date.accessioned	2023-06-15T07:42:38Z	-
dc.date.available	2023-06-15T07:42:38Z	-
dc.date.issued	1998	-
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/119306	-
dc.description.abstract	Slope estimation of a regression line and its confidence interval can be constructed by OLS (Ordinary Least Squares) and WLS (Weighted Least Squares) method. Confidence interval being found by both method must satisfy assumption about normality of error term with zero mean and common variance for OLS method and heteroscedasticity for WLS method and independency of error term. NC (Nanayakkara and Cressie) method is a method aimed to reduce variance of estimate resulted from OLS method when error term has non- constant variance.	id
dc.language.iso	id	id
dc.publisher	IPB University	id
dc.subject.ddc	Mathematical statistics - Statistical analysis	id
dc.title	Selang kepercayaan untuk koefisien B1 dari garis regresi apabila ragam galat tidak homogen dengan metode ols, wls dan bootstrap	id
dc.type	Thesis	id
dc.subject.keyword	Percentite-bootstrap	id
dc.subject.keyword	Ordinary Least Squares	id
dc.subject.keyword	Weighted Least Squares	id
Appears in Collections:	MT - Mathematics and Natural Science

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