Chapter 10
Bootstrapping
Approximate the Distribution of a Statistic through Resampling
Bootstrapping is a re-sampling method for approximating the sampling distribution of a statistic. The data is re-sampled with replacement and the statistic is computed. This process is repeated to produce a distribution of values for the statistic.
Bootstrapping is useful when estimating properties of a statistic (mean, standard error, and so on) and performing inference, in the following situations:
⢠The theoretical distribution of the statistic is complicated or unknown.
⢠Inference using parametric methods is not possible due to violations of assumptions. ...
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