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On the other hand, other IRT models like the nominal response models, predict the expected scores of individuals answering items with unordered response categories (e.g. Yes, No, Maybe).
The measurement uncertainty is computed by means of fuzzy density approach yielding a certain confidence band around the measured nominal response.
The developed method uses a disturbance estimation, a nominal controller that assumes the cancellation of the disturbance inputs and an error controller that guides the trajectory of the plant states using the nominal response as a tracking reference.
In the literature, the worst case SOF refers to the SOF where the discrepancy between the mean response from random realizations and the nominal response from a soil mass taking mean properties everywhere is the largest.
Both ordinal and nominal response logistic regression models were developed in the study.
The retained genes are the most highly correlated with the nominal response (cancer class).
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From these sets we computed both amplitude and phase responses as well as their deviations from the nominal responses of this particular seismometer type.
Among existing approaches, ordinal logistic [ 8] and multinomial logistic [ 9] are the two most popular multi-category response logistic models for ordinal and nominal responses, respectively.
Bivariate analysis by Pearson Chi-squared test was used to determine whether the nominal responses were associated with the choices of expected URTI duration.
Similar to the random-effects models used for analyzing binary outcomes, this model takes two levels of variance, between-cluster variance and within-cluster variance, into account for clustered or longitudinal nominal responses [ 41, 42].
As a result, the nominal setpoint response is decoupled with the load disturbance response of the inner loop, both of which can be optimized independently.
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