Boothstrap Method for Measures of Statistical Accuracy
dc.contributor.author | Oguntunde, Bosede | |
dc.date.accessioned | 2022-10-11T07:59:26Z | |
dc.date.available | 2022-10-11T07:59:26Z | |
dc.date.issued | 2008 | |
dc.description.abstract | We introduced bootsrap method for dependent data structure and emphasis is on the construction of efficient inferential procedures for an estimator as a measure of its statistical accuracy, such as standard error, bias, ratio, coefficient of variantion and root mean square error. it was illustaretd with real time series data structure. | en_US |
dc.identifier.uri | http://dspace.run.edu.ng:8080/jspui/handle/123456789/3691 | |
dc.language.iso | en | en_US |
dc.publisher | African Journal of Pure and Applied Sciences | en_US |
dc.relation.ispartofseries | Vol.1;No. 2 | |
dc.subject | Dependent data | en_US |
dc.subject | Bias | en_US |
dc.subject | Coefficient of variation | en_US |
dc.subject | Root mean square error | en_US |
dc.title | Boothstrap Method for Measures of Statistical Accuracy | en_US |
dc.type | Article | en_US |