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Behavior of Autocorrelation Functions
Physical Review A, 1972This paper is concerned with the behavior of the autocorrelation and memory functions of statistical mechanics as $t\ensuremath{\rightarrow}\ensuremath{\infty}$. A simple calculation shows that for a large class of models leading to power-law behavior, the two functions have opposite sign and common functional behavior in the limit $t\ensuremath ...
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Autocorrelation Functions in Geology
1970By using a method originally developed by P. Whittle, it is shown that a continuous random variable in three-dimensional space has an exponential autocorrelation function if it is subject to a property analogous to the Markov property in time-series analysis.
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Generalization of the autocorrelation function
SPIE Proceedings, 1998We generalize the concept of the autocorrelation function to arbitrary physical variables and show how it can be used to define a local autocorrelation function. Using the local autocorrelation function we develop a new method to generate densities for arbitrary physical quantities. In addition, we show that the generalized autocorrelation function can
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Examples of Autocorrelation Functions
1997The principal instrument for the description of the fluctuations of spin interactions following from molecular dynamics is the autocorrelation function, which is preferably used in its reduced form. In the following sections, typical examples of correlation function formalisms will be delineated.
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Momentum autocorrelation functions from classical Green’s functions
American Journal of Physics, 1978An elementary method based on the classical Green’s functions for the calculation of the momentum autocorrelation function for a harmonic oscillator and a damped harmonic oscillator is presented.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
Inference for Spatial Autocorrelation Functions
1984Some general methods are proposed for generating confidence interval estimates for parameters of a variogram model. Particular attention is paid to scale and shape parameters and to joint estimation procedures for the scale parameter and the replication variance (nugget effect).
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C90. The autocorrelation functions
Journal of Statistical Computation and Simulation, 1981openaire +1 more source

