Bootstrap Sampling Tutorial
Bootstrap is a simple but powerful Monte Carlo method to assess statistical accuracy or to estimate distribution from sample's statistics. This tutorial will give you introduction to some practical idea on what is bootstrap method, how to perform bootstrap step by step by hand and with some simple "programming" in MS Excel. By the end of this tutorial, you will gain much better understanding on how to manage your limited number of observations in your sample by creating your own data. Bootstrap sampling is not magic or miracle or cheating but truly useful scientific method. Keep reading!
Contents
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What is bootstrap method?
What is boostsrap sampling?Bootstrap numerical example (How to use MS Excel to perform Bootstrap method?)
What are the assumption of Bootstrap?
Example Applications of Bootstrap
Key ideas of bootstrap samplingSampling and Bootstrap Sampling
Why do I need Boostrap Sampling?
What is sample and population?What the Strength and Weaknesses of Bootstrap?
What you can get from frequency distribution?
Non parametric Bootstrap
Resources on Bootstrap Method
See Also:
Monte Carlo Simulation
,
Statistical Independent
,
Bootstrap computation using R
Note: To gain more understanding of this tutorial, I hope you have refreshed yourself with the meaning of statistical terminology such as distribution, statistical independent, confidence interval, hypothesis testing, goodness of fit of sample to theoretical distribution and ratio of two random variables.
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Preferable reference for this tutorial is
Teknomo, Kardi (2015). Bootstrap Sampling Tutorial. http://people.revoledu.com/kardi/tutorial/Bootstrap/