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In general, when two variables are correlated it means that the value of one variable is to some extent dependent on the value of the other variable. The extent ...

The CORREL function returns the correlation coefficient of two cell ranges. Use the correlation coefficient to determine the relationship between two properties. For example, you can examine the relationship between a location's average temperature and the use of air conditioners.

Correlation and Causation

The theory of correlation functions is well established 108. We describe here the implementation of the various correlation function flavors in the GROMACS ...

It describes how and when a statistical relationship has vanished. We can use correlation functions to describe various time-dependent chemical ...

CorrelationFunction[data, hspec] estimates the correlation function at lags hspec from data. CorrelationFunction[proc, hspec] represents the correlation function at lags hspec for the random process proc. CorrelationFunction[proc, s, t] represents the correlation function at times s and t for the random process proc.

Mar 02, 2015 · The correlation function measures, as you would expect, how correlated two random variables are. That is, how often two random variables have similar values. We can construct such a function very simply.

In particular, dynamic correlation functions appear in the fluctuation-dissipation theorem, where the response of a many- ...

The CORREL function returns the correlation coefficient of two cell ranges. Use the correlation coefficient to determine the relationship between two properties. For example, you can examine the relationship between a location's average temperature and the use of air conditioners.

A correlation function is a function that gives the statistical correlation between random variables, contingent on the spatial or temporal distance between those variables. If one considers the correlation function between random variables representing the same quantity measured at two

Correlation Function. φ(t) is the correlation function that describes the decay in time of an applied electric field in a homogeneous conducting dielectric.

In statistical mechanics, the correlation function is a measure of the order in a system, as characterized by a mathematical correlation function. Correlation functions describe how microscopic variables, such as spin and density, at different positions are related. More specifically, correlation functions quantify how microscopic variables co-vary with one another on average across space …

In statistical mechanics, the correlation function is a measure of the order in a system, as characterized by a mathematical correlation function.Correlation functions describe how microscopic variables, such as spin and density, at different positions are related.

CorrelationFunction[data, hspec] estimates the correlation function at lags hspec from data. CorrelationFunction[proc, hspec] represents the correlation function at lags hspec for the random process proc. CorrelationFunction[proc, s, t] represents the correlation function at times s and t for the random process proc.

A correlation function is a function that gives the statistical correlation between random variables, contingent on the spatial or temporal distance between ...

A correlation function is a function that gives the statistical correlation between random variables, contingent on the spatial or temporal distance between those variables. If one considers the correlation function between random variables representing the same quantity measured at two different points, then this is often referred to as an ...

If you apply a function to a random variable you get a new random variable (the function should be measurable for this to hold).