Usage: |
(D,V,W2,A2)=cvPareto(n,m,alpha,lambda,method,numberofiterations)
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Input: |
| n | scalar, length of simulated sample.
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| m | scalar, number of simulations.
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| method | scalar, parameter of Pareto distribution.
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| numberofiterations | scalar, parameter of Pareto distribution.
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| n/a | integer, method of estimation (1 - maximum likelihood, 2 - min A2).
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| n/a | integer, number of iterations in the method of estimation, if needed.
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Output: |
| D | m x 1 vector, of EDF statistics. |
| V | m x 1 vector, of EDF statistics. |
| W2 | m x 1 vector, of EDF statistics. |
| A2 | m x 1 vector, of EDF statistics. |