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3 votes
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Calculate the mean and variance of a stochastic process?

The process is a series of random variables $(X_n).$ It is evident from your formulas and code that these random variables are the proportions of white balls in the urn when there are $n$ balls in the ...
whuber's user avatar
  • 334k
1 vote

Posterior simulation of residuals and ACF for GAMs

I replied in the other thread but will do so here as well for completeness. In Bayesian inference with MCMC, each posterior draw represents a plausible model configuration. So we can compute ...
Nicholas Clark's user avatar
1 vote

Simulating machine maintenance occurrences using Weibull distributions

I don't see a problem with Approach 1, except that it doesn't allow for multiple events in the same day. I assume that multiple events in a single day have very low probability. If you "generate ...
EdM's user avatar
  • 102k

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