Random variation is a deviation from a standard distribution independent of inputs or biases. Randomness directly correlates with the precision of your processes. Learning how to account for and ...

The economics for random variation are changing, particularly at advanced nodes and in complex packaging schemes. Random variation always will exist in semiconductor manufacturing processes, but much ...

Milliken and Johnson (1984) present an example of an unbalanced mixed model. Three machines, which are considered as a fixed effect, and six employees, which are considered a random effect, are ...

We study the tail behavior of regularly varying infinitely divisible random vectors and additive processes, i.e. stochastic processes with independent but not necessarily stationary increments. We ...

Fréchet mean and variance provide a way of obtaining a mean and variance for metric space-valued random variables, and can be used for statistical analysis of data objects that lie in abstract spaces ...