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The “New” Statistics: Resampling and Bootstrapping

Larry A. Pace

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Abstract

In Chapter 17 you learned how you can do simulations of various statistical processes in R by generating random data. In Chapter 18, we turn the tables and work only with sample data. We will still be simulating, however, because we will use resampling and bootstrapping to generate multiple samples with replacement from our original data. In essence these are nonparametric techniques, because we are not making assumptions about populations when we analyze the sample data. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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What this paper is about

In Chapter 17 you learned how you can do simulations of various statistical processes in R by generating random data. In Chapter 18, we turn the tables and work only with sample data. We will still be simulating, however, because we will use resampling and bootstrapping to generate multiple samples with replacement from our original data. In essence these are nonparametric techniques, because we are not making assumptions about populations when we analyze the sample data. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Available abstract

In Chapter 17 you learned how you can do simulations of various statistical processes in R by generating random data. In Chapter 18, we turn the tables and work only with sample data. We will still be simulating, however, because we will use resampling and bootstrapping to generate multiple samples with replacement from our original data. In essence these are nonparametric techniques, because we are not making assumptions about populations when we analyze the sample data. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Key concepts: Bootstrapping (finance), Resampling, Nonparametric statistics, Computer science, Sample (material), Statistics, Data mining, Econometrics

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