Statistical Properties of a Slit-Confined Wormlike Chain of Finite Length

2021 ◽  
Author(s):  
Yue Teng ◽  
Nigel T. Andersen ◽  
Jeff Z. Y. Chen
Keyword(s):  
Finite Length ◽  
Statistical Properties ◽  
Wormlike Chain

Reply by the authors to A. Walden and R. White

Geophysics ◽  
1988 ◽  
Vol 53 (11) ◽  
pp. 1491-1492
Author(s):  
Anton Ziolkowski ◽  
Jacob Fokkema
Keyword(s):  
Impulse Response ◽  
Finite Length ◽  
Statistical Properties ◽  
Finite Segment ◽  
The Earth ◽  
Response Formula

We thank Andrew Walden and Roy White for their interest in our paper and their explanation of the practical whiteness assumption in deconvolution. As we understand it, what they are saying is this: True whiteness is not at issue when we are dealing with finite chunks of data. The only thing that matters is whether the statistical properties of a finite segment of the impulse response of the earth (what Walden and White call the reflection response [Formula: see text]) are those of a finite length sample from an uncorrelated sequence. Quite. And how are we going to find that out unless we first do the signature deconvolution with a known signature? In other words, we can only test this assumption in circumstances where we have no need of it.

Statistical properties of type I intermittency

1982 ◽  
Vol 43 (4) ◽  
pp. 585-589 ◽  
Author(s):  
M. N. Bussac ◽  
C. Meunier
Keyword(s):  
Statistical Properties ◽  
Type I

Correlation in the heart rate data

1998 ◽  
Vol 2 ◽  
pp. 141-148
Author(s):  
J. Ulbikas ◽  
A. Čenys ◽  
D. Žemaitytė ◽  
G. Varoneckas
Keyword(s):  
Nonlinear Dynamics ◽  
Experimental Data ◽  
Heart Rate ◽  
Time Series ◽  
Cardiovascular Function ◽  
Statistical Properties ◽  
Rate Data ◽  
Heart Rate Data ◽  
Dynamical Nature ◽  
Analysis Of Time Series

Variety of methods of nonlinear dynamics have been used for possibility of an analysis of time series in experimental physiology. Dynamical nature of experimental data was checked using specific methods. Statistical properties of the heart rate have been investigated. Correlation between of cardiovascular function and statistical properties of both, heart rate and stroke volume, have been analyzed. Possibility to use a data from correlations in heart rate for monitoring of cardiovascular function was discussed.

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