![Non-parametric statistics / Statistical tests / Covariance and correlation / Resampling / Bootstrapping / Propagation of uncertainty / Standard error / Variance / Ising model / Statistics / Statistical inference / Data analysis Non-parametric statistics / Statistical tests / Covariance and correlation / Resampling / Bootstrapping / Propagation of uncertainty / Standard error / Variance / Ising model / Statistics / Statistical inference / Data analysis](https://www.pdfsearch.io/img/7b0b15af9beaab5205834458599c39ec.jpg) Date: 2007-11-05 15:08:58Non-parametric statistics Statistical tests Covariance and correlation Resampling Bootstrapping Propagation of uncertainty Standard error Variance Ising model Statistics Statistical inference Data analysis | | 8 Error analysis: jackknife & bootstrap As discussed before, it is no problem to calculate the expectation values and statistical error estimates of “normal” observables from Monte Carlo. However, often we have to
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