. findit copula
just finds
SJ-2-2 st0010 . . . . . . . . . . . . . . . . . . . . . Power by simulation
. . . . . . . . . . . . . . . . . . . . . . . . . . . . A. H. Feiveson
Q2/02 SJ 2(2):107--124 (no commands)
describes how to perform power and sample size estimation
using simulation in Stata
Nick
[email protected]
Al Feiveson
> Tony - One way is the copula technique. Basically, you can
> do this by first
> generating dependent normal variates, then transforming them
> to dependent
> uniforms (via the marginal normal CDFs) and then to Poissons.
> There have
> been a number of queries about dependent normals and I
> suspect there is a
> FAQ on the topic.
Tony YANG
> How can I generate a correlated Poisson sample in Stata? And the data
> structure is like the following:
>
> Obs time1 time2 time3 time4
> 1 2 4 5 2
> 2 1 3 5 6
> 3 2 3 1 5
> 4 0 6 4 1
> ...
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