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Questions tagged [statistics-bootstrap]

In statistics, a bootstrap is a resampling technique based on random sampling with replacement.

The bootstrap was introduced by Brad Efron in the Late 1970s. It is a computer‐intensive method that enables enables researchers to estimate the sample statistics (such as medians, variances, percentiles) by drawing randomly with replacement from a set of available data.

See also:

  1. The Wikipedia page on Bootstrapping
  2. Bootstrapping using boot package in R
  3. Brad Efron's paper on bootstrap
  4. Review on bootstrap methods in econometrics
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Doing Deming regression in R. Time sensitive

I just loaded R to my windows machine and included bootstrap routines and the mcr routine for Deming regression. Very basic questions. How do I imbed Deming regression inside a bootstrap sampling routine? How do I input my data into R? The data…
Michael R. Chernick
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Take one sample per row at a time, compute mean, loop

In R I have a matrix of 47 rows and 30 columns. Each cell contains a numerical value (varying from 0.0 to 1.0). Some cells have "NA" instead of a numerical value. This is what I would like to do: For each row, sample one random value until all 47…
pbc
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