Show simple item record

dc.contributor.authorSantana, Leonard
dc.contributor.authorSwanepoel, Jan W.H.
dc.identifier.citationSantana, L. & Swanepoel, J.W.H. 2018. A nonparametric point estimation technique using the m-out-of-n bootstrap. South African statistical journal, 52(1):73-92. []en_US
dc.identifier.issn1996-8450 (Online)
dc.description.abstractWe investigate a method which can be used to improve an existing point estimator by a modification of the estimator and by using the m-out-of-n bootstrap. The estimation method used, known as bootstrap robust aggregating (or BRAGGing) in the literature, will be applied in general to the estimators that satisfy the smooth function model (for example, a mean, a variance, a ratio of means or variances, or a correlation coefficient), and then specifically to an estimator for the population mean. BRAGGing estimators based on both a naive and corrected version of them-out-of-n bootstrap will be considered. We conclude with proposed data-based choices of the resample size, m, as well as Monte-Carlo studies illustrating the performance of the estimators when estimating the population mean for various distributionsen_US
dc.subjectCornish-Fisher expansionen_US
dc.subjectm-out-of-n bootstrapen_US
dc.subjectMonte-Carlo studyen_US
dc.subjectPoint estimationen_US
dc.subjectResample sizeen_US
dc.subjectSmooth function modelen_US
dc.titleA nonparametric point estimation technique using the m-out-of-n bootstrapen_US
dc.contributor.researchID11803371 - Santana, Leonard
dc.contributor.researchID10177507 - Swanepoel, Jan Willem Hendrik

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record