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<!-- navigation toc: --> <li><a href="._Statistics-bs001.html#___sec0" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Domains and probabilities</a></li>
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<!-- navigation toc: --> <li><a href="._Statistics-bs004.html#___sec3" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Stochastic variables and the main concepts, the discrete case</a></li>
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<!-- navigation toc: --> <li><a href="._Statistics-bs006.html#___sec5" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;The cumulative probability</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs007.html#___sec6" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Properties of PDFs</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs008.html#___sec7" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Important distributions, the uniform distribution</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs009.html#___sec8" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Gaussian distribution</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs010.html#___sec9" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Exponential distribution</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs011.html#___sec10" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Expectation values</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs012.html#___sec11" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Stochastic variables and the main concepts, mean values</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs013.html#___sec12" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Stochastic variables and the main concepts, central moments, the variance</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs014.html#___sec13" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Probability Distribution Functions</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs015.html#___sec14" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Probability Distribution Functions</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs016.html#___sec15" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;The three famous Probability Distribution Functions</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs017.html#___sec16" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Probability Distribution Functions, the normal distribution</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs018.html#___sec17" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Probability Distribution Functions, the normal distribution</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs019.html#___sec18" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Probability Distribution Functions, the cumulative distribution</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs020.html#___sec19" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Probability Distribution Functions, other important distribution</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs021.html#___sec20" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Probability Distribution Functions, the binomial distribution</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs022.html#___sec21" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Probability Distribution Functions, Poisson's distribution</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs023.html#___sec22" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Probability Distribution Functions, Poisson's distribution</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs024.html#___sec23" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Meet the covariance!</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs025.html#___sec24" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Meet the covariance in matrix disguise</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs026.html#___sec25" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Meet the covariance, uncorrelated events</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs027.html#___sec26" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Numerical experiments and the covariance</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs028.html#___sec27" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Numerical experiments and the covariance</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs029.html#___sec28" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Numerical experiments and the covariance, actual situations</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs030.html#___sec29" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Numerical experiments and the covariance, our observables</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs031.html#___sec30" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Numerical experiments and the covariance, the sample variance</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs032.html#___sec31" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Numerical experiments and the covariance, central limit theorem</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs033.html#___sec32" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Definition of Correlation Functions and Standard Deviation</a></li>
<!-- navigation toc: --> <li><a href="#___sec33" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Definition of Correlation Functions and Standard Deviation</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs035.html#___sec34" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Definition of Correlation Functions and Standard Deviation</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs036.html#___sec35" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Definition of Correlation Functions and Standard Deviation</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs037.html#___sec36" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Definition of Correlation Functions and Standard Deviation, sample variance</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs038.html#___sec37" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Definition of Correlation Functions and Standard Deviation</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs039.html#___sec38" style="font-size: 80%;"><b>Random Numbers</b></a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs040.html#___sec39" style="font-size: 80%;"><b>Random Numbers, better name: pseudo random numbers</b></a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs041.html#___sec40" style="font-size: 80%;"><b>Random number generator RNG</b></a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs042.html#___sec41" style="font-size: 80%;"><b>Random number generator RNG and periodic outputs</b></a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs043.html#___sec42" style="font-size: 80%;"><b>Random number generator RNG and its period</b></a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs044.html#___sec43" style="font-size: 80%;"><b>Random number generator RNG, other examples</b></a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs045.html#___sec44" style="font-size: 80%;"><b>Random number generator RNG, other examples</b></a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs046.html#___sec45" style="font-size: 80%;"><b>Random number generator RNG, RAN0</b></a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs047.html#___sec46" style="font-size: 80%;"><b>Random number generator RNG, RAN0</b></a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs048.html#___sec47" style="font-size: 80%;"><b>Random number generator RNG, RAN0</b></a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs049.html#___sec48" style="font-size: 80%;"><b>Random number generator RNG, RAN0</b></a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs050.html#___sec49" style="font-size: 80%;"><b>Random number generator RNG, RAN0 code</b></a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs051.html#___sec50" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Properties of Selected Random Number Generators</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs052.html#___sec51" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Properties of Selected Random Number Generators</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs053.html#___sec52" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Properties of Selected Random Number Generators</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs054.html#___sec53" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Simple demonstration of RNGs using python</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs055.html#___sec54" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Properties of Selected Random Number Generators</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs056.html#___sec55" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Correlation function and which random number generators should I use</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs057.html#___sec56" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Correlation function and which random number generators should I use</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs058.html#___sec57" style="font-size: 80%;"><b>Which RNG should I use?</b></a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs059.html#___sec58" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;How to use the Mersenne generator</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs060.html#___sec59" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Why blocking?</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs061.html#___sec60" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Why blocking?</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs062.html#___sec61" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Code to demonstrate the calculation of the autocorrelation function</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs063.html#___sec62" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;What is blocking?</a></li>
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<!-- navigation toc: --> <li><a href="._Statistics-bs070.html#___sec69" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Bootstrapping, recipe</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs071.html#___sec70" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Bootstrapping, "code":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Programs/Sampling/analysis.py"</a></li>
<!-- navigation toc: --> <li><a href="._Statistics-bs072.html#___sec71" style="font-size: 80%;">&nbsp;&nbsp;&nbsp;Jackknife, "code":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Programs/Sampling/analysis.py"</a></li>
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<h2 id="___sec33" class="anchor">Definition of Correlation Functions and Standard Deviation </h2>
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<p> <!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
Our estimate of the true average \( \mu_{X} \) is the sample mean \( \langle X_m \rangle \)
<p>
If the
observables are uncorrelated, then the covariance is zero and we obtain a total variance
which agrees with the central limit theorem. Correlations may often be present in our data set, resulting in a non-zero covariance. The first term is normally called the uncorrelated
contribution.
Computationally the uncorrelated first term is much easier to treat
efficiently than the second.
We just accumulate separately the values \( x^2 \) and \( x \) for every
measurement \( x \) we receive. The correlation term, though, has to be
calculated at the end of the experiment since we need all the
measurements to calculate the cross terms. Therefore, all measurements
have to be stored throughout the experiment.
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