Recent content by mloo01
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MHB Would Network Traffic Rate Estimates Follow a Pareto or Normal Distribution?
Yes that's great thank you- mloo01
- Post #3
- Forum: Set Theory, Logic, Probability, Statistics
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MHB Would Network Traffic Rate Estimates Follow a Pareto or Normal Distribution?
I have a question that is confusing me. If traffic in a network is being generated from a Pareto distribution, And I am estimating this traffic rate at each packet arrival, If I was to take the previous x estimated rates as a sample of data, Would the distribution of these estimated rates...- mloo01
- Thread
- Data Distributions
- Replies: 2
- Forum: Set Theory, Logic, Probability, Statistics
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MHB Integral of the Inverse Gamma Distribution
Your last explanation was very helpful. I would like however to compute the probability $P\{ X< \gamma\}$ Can I follow an approach similar to yours above? I had been thinking of following the following approach: P1=integral(A(x)) over [0,x] where A(x) is the inverse gamma distribution...- mloo01
- Post #7
- Forum: Set Theory, Logic, Probability, Statistics
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MHB Integral of the Inverse Gamma Distribution
Thank you for your reply, that is most helpful- mloo01
- Post #6
- Forum: Set Theory, Logic, Probability, Statistics
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MHB Integral of the Inverse Gamma Distribution
On reflection I was thinking - Is the same true if I am integrating over a definite integral from 0 to a constant?- mloo01
- Post #4
- Forum: Set Theory, Logic, Probability, Statistics
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MHB Integral of the Inverse Gamma Distribution
Thank you very much!- mloo01
- Post #3
- Forum: Set Theory, Logic, Probability, Statistics
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MHB Integral of the Inverse Gamma Distribution
Hi, I am trying to solve the integral of the Inverse Gamma Distribution. Does this equate to 1 as it is a pdf? Thanks- mloo01
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- Distribution Gamma Integral Inverse
- Replies: 6
- Forum: Set Theory, Logic, Probability, Statistics
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How Should I Set the Time Constant for LPF/EWMA?
The exponentially weighted moving average is essentially a first order low pass filter: y(t)=(1-a)*y(t-1) + a*u(t) where y(t) is the present filter output, u(t) is the present filter input, y(t-1) is the filter output at the previous time and a is the smoothing factor or filter parameter...- mloo01
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- Constant Time Time constant
- Replies: 1
- Forum: Electrical Engineering