Quasi-random resampling for the bootstrap
β Scribed by Kim-Anh Do; Peter Hall
- Book ID
- 105391432
- Publisher
- Springer US
- Year
- 1991
- Tongue
- English
- Weight
- 812 KB
- Volume
- 1
- Category
- Article
- ISSN
- 0960-3174
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
The Jackknife And The Bootstrap Are Nonparametric Methods For Assessing The Errors In A Statistical Estimation Problem. They Provide Several Advantages Over The Traditional Parametric Approach: The Methods Are Easy To Describe And They Apply To Arbitrarily Complicated Situations; Distribution Assump
## Abstract A nonparametric method for resampling multiseason hydrologic time series is presented. It is based on the idea of rank matching, for simulating univariate time series with strong and/or longβrange dependence. The rank matching rule suggests concatenating with higher likelihood those blo