decision rule

It can be used with any type of decision rule.

The X is the set of things the decision rule will be making decisions on.

We will show that is a better decision rule than .

Decision rules are commonly used in the medical field.

Whether a decision rule has low risk depends on the true state of nature .

A decision rule makes a choice using an optimality criterion.

Decision rules for children have not been widely validated so conclusions are less clear.

These groups use the term consensus to denote both the discussion process and the decision rule.

Possible decision rules for consensus vary within the following range:

It also showed that over the cycle, simple decision rules would with near certainty bring excess profits.

C4.5 is a well-known tool for discovering decision rules.

A simple decision rule can be used to decide what to do in the case of source units which cross the target unit boundaries.

Using a multiple regression or some form of Bayesian decision rule would be better and cheaper.

Functional strategy- selection of decision rules in each functional area.

The level of agreement necessary to finalize a decision is known as a decision rule.

In its specifics, it is also more controversial where the range of the decision rule itself is at issue.

Finally, by definition, the optimal decision rule is the one that achieves the best possible value of the objective.

Advantages of simulation are new policies, operating procedures, decision rules, information flows.

Most organizations would like to see a simple decision rule such as "if supervisor support is less than 3.0, an intervention is needed."

This decision rule is what dictates the decision making for most juries.

The researchers usually hold the percentage of group support for the outcome constant and vary the decision rule to produce different outcomes.

An estimator is a decision rule used for estimating a parameter.

Decision rules support decision-making, which produces a communication pattern that can be directly observable.

In decision theory, a decision rule is a function which maps an observation to an appropriate action.

An estimator or decision rule with zero bias is called unbiased.