Re-sampling avoids parametric assumptions, making it a non-parametric method of statistical inference. The Bootstrap method employs sampling with replacement to create estimations from smaller data ...
This is a very useful R package to implement the Mixed Residual Bootstrap Method. For more detailed information regarding this method, please refer to the original research paper. S M S Lee, Y Wu; A ...
This article introduces a resampling procedure called the truncated geometric bootstrap method for stationary time series process. This procedure is based on resampling blocks of random length, where ...
Studies on the iteration procedure in double bootstrap method have given a great impact on confidence interval performance. However, the procedure was claimed to be complicated and demand intensive ...
When installing from GitHub, in order to build the package from source, you need to have the appropriate R development tools installed (Rtools on Windows, or these tools on Mac). If you want the ...
Abstract: The bootstrap method applied to positron emission tomography (PET) data was evaluated as a technique to determine regional image noise in PET. To validate the method, 250 scans (5 min each) ...
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