文件名称:introduction-to-resampling-methods-bootstrap
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Bootstrap is a data based simulation method for statistical inference.
The basic idea of bootstrap is to use the sample data to compute a
statistic and to estimate its sampling distribution, without any model
assumption.
Many technics are described with some examples in matlab.
The basic idea of bootstrap is to use the sample data to compute a
statistic and to estimate its sampling distribution, without any model
assumption.
Many technics are described with some examples in matlab.
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introduction to resampling methods-bootstrap.pdf