Assessing the coefficient of variations of chemical data using bootstrap method
β Scribed by Saeid Amiri; Silvelyn Zwanzig
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 208 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0886-9383
- DOI
- 10.1002/cem.1350
No coin nor oath required. For personal study only.
β¦ Synopsis
The coefficient of variation is frequently used in the comparison and precision of results with different scales. This work examines the comparison of the coefficient of variation without any assumptions about the underlying distribution. A family of tests based on the bootstrap method is proposed, and its properties are illustrated using Monte Carlo simulations. The proposed method is applied to chemical experiments with iid and nonβiid observations. Copyright Β© 2011 John Wiley & Sons, Ltd.
π SIMILAR VOLUMES
Powerful computational procedures are now available to better determine the accuracy of statistical estimates derived from data that have unknown distributions or do not meet parametric requirements. These techniques are generally called resampling plans and include the recently developed bootstrap.
## Abstract Environmental contamination data frequently follow an extremely right skewed distribution, which is often approximated by a logβnormal distribution. For the purpose of risk assessment it is of interest to use the sample data to calculate an upper bound on the population arithmetic mean.
The bootstrap is an important tool for estimating the confidence interval of monophyletic groups within phylogenies. Although bootstrap analyses are used in most evolutionary studies, there is no clear consensus as how best to interpret bootstrap probability values. To study further the bootstrap me