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You have a discrete distribution: p(X=0) = 0.5 p(X=1) = 0.3 P(X=2) = 0.2 Develop an inverse transform sampler for this in R programming. In
You have a discrete distribution:
p(X=0) = 0.5
p(X=1) = 0.3
P(X=2) = 0.2
Develop an inverse transform sampler for this in R programming.
In R programming, Develop a rejection sampler for this using a uniform distribution as your proposal distribution. What proportion of proposed samples will be rejected?
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