Examlex
Important models to help marketers better understand consumer response to service environments are:
Prior Probability
The probability of an event before new evidence is considered, used in Bayesian statistics as a part of updating the probability based on new information.
Posterior Probability
is the probability of the hypotheses given the observed data, calculated using Bayes' theorem.
Prior Probability
The likelihood of an event occurring before new evidence is taken into account.
Conditional Probability
The estimated probability of an event's occurrence when it is already known that another event has preceded it.
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