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MTH3028 Lecture 1.7
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| n = 1 | |
| theta = 1 | |
| alpha = 0.05 | |
| lo = up = numeric(10000) | |
| for (i in 1:10000) { | |
| x = rexp(n, 1/theta) | |
| lo[i] = -x / log(alpha) | |
| up[i] = -x / log(1-alpha) | |
| } | |
| mean(theta < lo) | |
| mean(theta > up) |
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