Chapter 11
BootstrappingApproximate the Distribution of a Statistic through Resampling
Bootstrapping is available only in JMP Pro.
Bootstrapping is a resampling method for approximating the sampling distribution of a statistic. You can use bootstrapping to estimate the distribution of a statistic and its properties, such as its mean, bias, standard error, and confidence intervals. Bootstrapping is especially useful in the following situations:
⢠The theoretical distribution of the statistic is complicated or unknown.
⢠Inference using parametric methods is not possible because of violations of assumptions.
Note: Bootstrap is available only ...
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