Resampling, the Bootstrap and Minitab
β Scribed by John Taffe; Nick Garnham
- Book ID
- 111016670
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 191 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0141-982X
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
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