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As with parallel tempering, it is sufficient to calculate the probabilities up to unknown normalizing constants for each distributions, these normalizing constants cancel out in the Metropolis–Hastings ratio.
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Each distribution center accommodates all the Unilever lines.
While the costs to introduce the technology will vary widely, Kearney estimated that major retailers would have to invest $400,000 at each distribution center and $100,000 at each store to read and manage the data.
Because each distribution center is a relatively low fixed cost.
Crosses represent the mean of each distribution.
Demand requirement at each distribution center.
The failure data can fit each distribution equally well.
The dotted lines mark the mean values of each distribution.
The uncertainties represent the standard deviation of each distribution.
The curves are the Gaussian best fit for each distribution.
The horizontal line segments mark the median in each distribution.
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