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Results #1-#10 of 33
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American Journal of Physics
  
Match Score:
100
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R. Zia and B. Schmittmann, Am. J. Phys., 71 (9), 859-865 (2003).
For any physical observable in statistical systems, the most frequently studied quantities are its average and standard deviation. Yet, its full distribution often carries extremely…
American Journal of Physics
  
Match Score:
100
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B. Schmittmann and R. Zia, Am. J. Phys., 67 (12), 1269-1276 (1999).
We present a simple introduction to the statistics of extreme values. Motivated by a string of record high temperatures in December 1998, we consider the distribution, averages, and…
American Journal of Physics
  
Match Score:
100
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G. D'Agostini, Am. J. Phys., 67 (12), 9 (1999).
The author introduces the ideas of subjective probability and Bayesian inference, comments on typical misconceptions that tend to discredit it, and compares it to other approaches.
American Journal of Physics
  
Match Score:
100
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S. Redner, Am. J. Phys., 58 (3), 267-273 (1990).
An elementary discussion of the statistical properties of the product of N independent random variables is given. The motivation is to emphasize the essential differences between the…
American Journal of Physics
  
Match Score:
100
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R. Zia and B. Schmittmann, Am. J. Phys., 71 (9), 859-875 (2003).
The most frequently studied quantities of a statistical variable are its average and standard deviation. Yet, its full distribution often carries very interesting information and can…
American Journal of Physics
  
Match Score:
100
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D. Landau, S. Tsai, and M. Exler, Am. J. Phys., 72 (10), 1294-1302 (2004).
The authors describe a Monte Carlo algorithm for sampling the density of states directly by doing a random walk in energy space. The probability of a microstate is computed at any…
STP Random Walk 1D Program  [ Computer Program ]
  
Match Score:
100
Byline:
H. Gould, J. Tobochnik, W. Christian, and A. Cox
Post a comment | Relations
The RandomWalk1D program simulates a random walk in one dimension for steps of unit length and equal time intervals. The default number of steps is N = 16 and the probability of…
STP Random Walk 1D Continuous Program  [ Computer Program ]
  
Match Score:
100
Byline:
H. Gould, J. Tobochnik, W. Christian, and A. Cox
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The RandomWalk1DContinuous program simulates a random walk in one dimension for steps of any length between 0 and 1. The default number of steps is N = 16 and the probability p of…
STP Random Walk 2D Program  [ Computer Program ]
  
Match Score:
100
Byline:
H. Gould, J. Tobochnik, W. Christian, and A. Cox
Post a comment | Relations
The RandomWalk2D program simulates a random walk in two dimensions. The default number of walkers is 1000, and the probability of going right, left up or down at any step is the…
STP Random Walk 2D SAW Program  [ Computer Program ]
  
Match Score:
100
Byline:
H. Gould, J. Tobochnik, W. Christian, and A. Cox
Post a comment | Relations
The RandomWalkSAW program simulates a self-avoiding random walk in two dimensions. The walker has an equal probability of going in any direction, but cannot return to a site that has…
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Results #1-#10 of 33