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Evaluation Of Using The Bootstrap Procedure To Estimate The Population Variance, Nghia Trong Nguyen
Evaluation Of Using The Bootstrap Procedure To Estimate The Population Variance, Nghia Trong Nguyen
Electronic Theses and Dissertations
The bootstrap procedure is widely used in nonparametric statistics to generate an empirical sampling distribution from a given sample data set for a statistic of interest. Generally, the results are good for location parameters such as population mean, median, and even for estimating a population correlation. However, the results for a population variance, which is a spread parameter, are not as good due to the resampling nature of the bootstrap method. Bootstrap samples are constructed using sampling with replacement; consequently, groups of observations with zero variance manifest in these samples. As a result, a bootstrap variance estimator will carry a …
Camptothecin Accumulation And Variations In Camptotheca (Abstract), Shiyou Li, Yijun Yi, Yujie Wang, Zhizhen Zhang, R. Scott Beasley
Camptothecin Accumulation And Variations In Camptotheca (Abstract), Shiyou Li, Yijun Yi, Yujie Wang, Zhizhen Zhang, R. Scott Beasley
NCPC Publications and Patents
No abstract provided.