HistogramDistribution : public class
Created: |
2012-05-28 12:45:32 |
Modified: |
2012-06-04 16:57:09 |
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Project: |
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Author: |
yt30282 |
Version: |
1.0 |
Phase: |
1.0 |
Status: |
Proposed |
Complexity: |
Easy |
Advanced: |
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UUID: |
{443EB9A0-D546-4c93-8391-28501BCDAA68} |
Appears In: |
TimeDistribution |
<p>The HistogramDistribution is The probability interval describes the probability for each interval if the distribution is discretized.<br/></p><p><br/></p><p>Semantics:<br/></p><p>Consider a given list of probaInterval of the form {pr[t_0;t_1]=p_1, ... , pr[t_n-1;t_n]=p_n} where t_0=lower, t_n=upper and t_0 <= t_1 <= ... <= t_n.<br/></p><p><br/></p><p>If the sum of all probability values P=p_1+...+p_n is equal to 1, as must be the case by definition of a probability distribution, then our distribution is such that the probability to obtain a value in the interval [t_i-1, t_i] (for i in [1, n]) is equal to p_i.<br/></p><p><br/></p><p>If the sum of all probability values P=p_1+...+p_n is larger than 1, then we consider the distribution to be a overapproximation of the exact distribution, that is, the probability to obtain a value in the interval [t_i-1, t_i] (for i in [1, n]) is smaller than or equal to p_i. We proceed similarly if P is smaller than 1.<br/></p>
- Associations From
- Other Links
Element |
Source Role |
Target Role |
Details |
ProbabilityInterval
Class
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Name: probabilityInterval
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Name:
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