Concentration-fluctuation model of a doped semiconductor in the nonmetallic regime. II. Excitation spectrum

1984 ◽  
Vol 29 (6) ◽  
pp. 3456-3462 ◽  
Author(s):  
R. Riklund ◽  
K. A. Chao
Keyword(s):  
Excitation Spectrum ◽  
Concentration Fluctuation ◽  
Fluctuation Model

Sensitivity analysis of a concentration fluctuation model to dissipation rate estimates

2012 ◽  
Vol 48 (1/2/3/4) ◽  
pp. 164 ◽  
Author(s):  
Andrea Amicarelli ◽  
Pietro Salizzoni ◽  
Giovanni Leuzzi ◽  
Paolo Monti ◽  
Lionel Soulhac ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Dissipation Rate ◽  
Concentration Fluctuation ◽  
Fluctuation Model

scholarly journals A predictive model for the diffusion of a highly non-ideal ternary system

2018 ◽  
Vol 20 (27) ◽  
pp. 18436-18446 ◽  
Author(s):  
Tariq Allie-Ebrahim ◽  
Vincenzo Russo ◽  
Ornella Ortona ◽  
Luigi Paduano ◽  
Riccardo Tesser ◽  
...  
Keyword(s):  
Ternary System ◽  
Predictive Model ◽  
Ternary Mixtures ◽  
Concentration Fluctuation ◽  
System P ◽  
Dynamic Concentration ◽  
Fluctuation Model

The Maxwell–Stefan and dynamic concentration fluctuation models were compared in predicting mutual diffusivity in non-ideal ternary mixtures. The dynamic concentration fluctuation model gives improved predictions.

Test of a New Concentration Fluctuation Model for Decision-Makers

1996 ◽  
pp. 285-293 ◽  
Author(s):  
Per Løfstrøm ◽  
Hans Jørgensen ◽  
Erik Lyck ◽  
Torben Mikkelsen
Keyword(s):  
Decision Makers ◽  
Concentration Fluctuation ◽  
Fluctuation Model

Segmental dynamics of miscible polymer blends: Comparison of the predictions of a concentration fluctuation model to experiment

1999 ◽  
Vol 111 (13) ◽  
pp. 6121-6128 ◽  
Author(s):  
Sudesh Kamath ◽  
Ralph H. Colby ◽  
Sanat K. Kumar ◽  
Kostas Karatasos ◽  
George Floudas ◽  
...  
Keyword(s):  
Polymer Blends ◽  
Concentration Fluctuation ◽  
Segmental Dynamics ◽  
Miscible Polymer Blends ◽  
Fluctuation Model

Implications of Person Fluctuation for the Stability and Validity of Test Scores

Methodology ◽  
2006 ◽  
Vol 2 (4) ◽  
pp. 142-148 ◽  
Author(s):  
Pere J. Ferrando
Keyword(s):  
Item Response ◽  
Test Scores ◽  
Temporal Stability ◽  
Person Fit ◽  
Item Parameters ◽  
Individual Trait ◽  
The Stability ◽  
The Individual ◽  
Different Levels ◽  
Fluctuation Model

In the IRT person-fluctuation model, the individual trait levels fluctuate within a single test administration whereas the items have fixed locations. This article studies the relations between the person and item parameters of this model and two central properties of item and test scores: temporal stability and external validity. For temporal stability, formulas are derived for predicting and interpreting item response changes in a test-retest situation on the basis of the individual fluctuations. As for validity, formulas are derived for obtaining disattenuated estimates and for predicting changes in validity in groups with different levels of fluctuation. These latter formulas are related to previous research in the person-fit domain. The results obtained and the relations discussed are illustrated with an empirical example.

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