The concept of bootstrap resampling has been well established over the last two decades. As indicated in the introduction, the bootstrap has found a wide range of applications supporting and in some ...

Bootstrap methods form a class of non‐parametric resampling techniques used to assess the variability and distributional properties of statistical estimators. By repeatedly drawing samples with ...

You can specify the following options in the PROC MULTTEST statement. If the PERMUTATION= option is used with the CA test, the exact permutation distribution is recomputed for each bootstrap sample.

Written for graduate students and engineers in areas such as radar, sonar, biomedical engineering and automotive engineering, this book covers the foundations of the bootstrap, its properties, its ...