Sentence examples for parameters and difficulties from inspiring English sources

Operational parameters and difficulties are explored as are comparisons of expected system performance to modern diesel engines.

Although RRL is known as a significant obstacle for successful operation of field-varying AC superconducting magnets, its precise investigation is difficult due to complex unknown parameters and difficulties of experimental measurements.

Also, in our study, changes in all variables were related to the individual baseline supine level (by normalisation), reducing the effects of large variations of measured parameters and difficulties with standardisation of the used techniques (TCD, NIRS and BP).

EFAs aimed to select the sets of items with greater linear association with the latent score, while the IRT analyses estimated the adjust parameters and items difficulty, and both provided evidences of validity regarding internal structure.

Modeling complications result from the sensitivity of machine RVs to different settings of machine operating parameters and the difficulty to estimate machine performance in terms of NP under stochastic running conditions.

Notably, in IRT-models, item discrimination parameters and item difficulty parameters can be viewed as counterparts of factor loadings and intercepts in common factor models, respectively [ 7, 18].

The descriptive statistics of each item, the reliability parameters and the difficulty index are given in Table 2. Considering the high percentage of patients with chronic rheumatic diseases, an item-difficulty index between 0.26 (Item: "I suffered from physical pain") and 0.73 (Items "Family life was a burden" and "I felt over directed") can be regarded as sufficient.

The Andersen model was specified by constraining the difficulty parameters and setting the mean difficulty to zero in both dimensions.

The discrimination parameter (α i ) and difficulty parameter (β i ) describe the measurement characteristics of item i.

In SVM regression, radial basis function (RBF) (1) was the most commonly used kernel function for its better generalization ability, less number of parameters, and less numerical difficulties [ 33] and was used in this study.

It depends on the following parameters (that are a priori assumed and fixed): the parameters related to the items of the questionnaire (items' number J and difficulties parameters δj, j = 1,…,J), the variance of the latent trait and the mean difference between groups on the latent trait.