Correlation function and Detrended fluctuation analysis

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Correlation function and Detrended fluctuation analysis

Correlation function vs. Detrended fluctuation analysis

A correlation function is a function that gives the statistical correlation between random variables, contingent on the spatial or temporal distance between those variables. In stochastic processes, chaos theory and time series analysis, detrended fluctuation analysis (DFA) is a method for determining the statistical self-affinity of a signal.

Similarities between Correlation function and Detrended fluctuation analysis

Correlation function and Detrended fluctuation analysis have 2 things in common (in Unionpedia): Autocorrelation, Random walk.

Autocorrelation

Autocorrelation, also known as serial correlation, is the correlation of a signal with a delayed copy of itself as a function of delay.

Autocorrelation and Correlation function · Autocorrelation and Detrended fluctuation analysis · See more »

Random walk

A random walk is a mathematical object, known as a stochastic or random process, that describes a path that consists of a succession of random steps on some mathematical space such as the integers.

Correlation function and Random walk · Detrended fluctuation analysis and Random walk · See more »

The list above answers the following questions

What Correlation function and Detrended fluctuation analysis have in common
What are the similarities between Correlation function and Detrended fluctuation analysis

Correlation function and Detrended fluctuation analysis Comparison

Correlation function has 31 relations, while Detrended fluctuation analysis has 31. As they have in common 2, the Jaccard index is 3.23% = 2 / (31 + 31).

References

This article shows the relationship between Correlation function and Detrended fluctuation analysis. To access each article from which the information was extracted, please visit:

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