It is seen in simulations and conΓΏrmed theoretically that: (i) the loss in accuracy of the Monte Carlo approximation of the bootstrap estimate can be inΓΏnite, due to the additional uncertainty introduced by ΓΏnite resampling, and (ii) the dimension of the data or the estimate of interest a ect drasti
β¦ LIBER β¦
Science without (parametric) models: the case of bootstrap resampling
β Scribed by Jan Sprenger
- Publisher
- Springer Netherlands
- Year
- 2009
- Tongue
- English
- Weight
- 160 KB
- Volume
- 180
- Category
- Article
- ISSN
- 0039-7857
No coin nor oath required. For personal study only.
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