bootstrap function parametric approach or non-parametric

I want to employ the bootstrap function in Matlab but I didn't find any explanation whether it is parametric bootstrapping or non-parametric!

Answer 1

[Aditya]

Hi Ehsan,

In MATLAB, the bootstrp function is used for bootstrapping, and it primarily implements non-parametric bootstrapping. Non-parametric bootstrapping involves resampling with replacement from the observed data, which does not assume any specific parametric form for the data distribution.

Here's a simple example demonstrating how to use bootstrp in MATLAB:

% Sample data
data = randn(100, 1); % Example dataset

% Function to compute the statistic (e.g., mean)
statFun = @(x) mean(x);

% Perform bootstrap
nBootstraps = 1000; % Number of bootstrap samples
bootstat = bootstrp(nBootstraps, statFun, data);

% Display results
fprintf('Bootstrap mean: %.4f\n', mean(bootstat));
fprintf('Bootstrap standard deviation: %.4f\n', std(bootstat));