Earthquakes Descaled: On Waiting Time Distributions and Scaling Laws

2005 ◽  
Vol 94 (10) ◽  
Author(s):  
Mattias Lindman ◽  
Kristin Jonsdottir ◽  
Roland Roberts ◽  
Björn Lund ◽  
Reynir Bödvarsson
Author(s):  
Katherine Skalak ◽  
◽  
James Pizzuto ◽  
Diana Karwan ◽  
Adam Benthem ◽  
...  

2019 ◽  
Vol 1 (3) ◽  
Author(s):  
Máté Jenei ◽  
Elina Potanina ◽  
Ruichen Zhao ◽  
Kuan Y. Tan ◽  
Alessandro Rossi ◽  
...  

2000 ◽  
Vol 113 (24) ◽  
pp. 10867-10877 ◽  
Author(s):  
Anatoly B. Kolomeisky ◽  
Michael E. Fisher

2002 ◽  
Vol 39 (03) ◽  
pp. 619-629 ◽  
Author(s):  
Gang Uk Hwang ◽  
Bong Dae Choi ◽  
Jae-Kyoon Kim

We consider a discrete-time queueing system with the discrete autoregressive process of order 1 (DAR(1)) as an input process and obtain the actual waiting time distribution and the virtual waiting time distribution. As shown in the analysis, our approach provides a natural numerical algorithm to compute the waiting time distributions, based on the theory of the GI/G/1 queue, and consequently we can easily investigate the effect of the parameters of the DAR(1) on the waiting time distributions. We also derive a simple approximation of the asymptotic decay rate of the tail probabilities for the virtual waiting time in the heavy traffic case.


2002 ◽  
Vol 39 (3-4) ◽  
pp. 309-332 ◽  
Author(s):  
K. Sen ◽  
Manju L. Agarwal ◽  
S. Chakraborty

In this paper, joint distributions of number of success runs of length k and number of failure runs of length k' are obtained by using combinatorial techniques including lattice path approach under Pólya-Eggenberger model. Some of its particular cases, for different values of the parameters, are derived. Sooner and later waiting time problems and joint distributions of number of success runs of various types until first occurrence of consecutive success runs of specified length under the model are obtained. The sooner and later waiting time problems for Bernoulli trials (see Ebneshahrashoob and Sobel [3]) and joint distributions of the type discussed by Uchiada and Aki [11] are shown as particular cases. Assuming Ln and Sn to be the lengths of longest and smallest success runs, respectively, in a sample of size n drawn by Pólya-Eggenberger sampling scheme, the joint distributions of Ln and  Sn as well as distribution of M=max(Ln,Fn)n, where Fn is the length of longest failure run, are also  obtained.


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