In the dynamic model, the probabilities and capacities of components in different states are allowed to be changed over time.
In the student-level regression model, the probabilities in Equations 4a, 4b, and 4c that Student i in School j will fall into Category 1 (high proficiency), 2 (low proficiency) and 3 (average reader) are ϕ1ij, ϕ2ij, and ϕ3ij, respectively.
Within this final model, the probabilities of class membership (for the participants in the sample) were 24%% for the first class, 51%% for the second class, and 25%% for the third class.
Within the final three-class model, the probabilities of class membership for the sample were 24%% for the first class, 41 % for the second class, and 35%% for the third class.
To represent extreme data (complete winter coverage), a logit regression is used to model the probabilities α dt of maximum inflation, with form logit ( α dt ) = ξ 0 + ∑ J 2 j = 1 ( ξ 2 j - 1 cos ( ω jm t ) + ξ 2 j sin ( ω jm t ) ).
In the student-level regression model, the probabilities in Equations 1a, 1b, and 1c that Student i in School j falls into Category 1 (reader with high proficiency), 2 (reader with low proficiency), or 3 (the reference category, i.e., an average reader) are ϕ1ij, ϕ2ij, and ϕ3ij, respectively.
According to Nate Silver's FiveThirtyEight model, the probability is 60.4percentnt.
According to the model, the probability that the American economy was in a recession in October, the last month for which we have data, was only 16.5percentt.
The other two are large impact of the event and not being able to model the probability of the event.
Similar to the DRS model, the probability of mobile subnet attack or repair should be considered.
Similar to the cost estimate model, the probability distribution for each schedule item is determined.
