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JMP 11 Basic Analysis by SAS Institute

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Chapter 10  
Bootstrapping
Approximate the Distribution of a Statistic through Resampling
About Bootstrapping
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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.
The sample size is too small for regular statistical inference. ...

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