The analisys of process models and determining state vector coordinates of carbon nanomaterials synthesys

2016 ◽  
Vol 0 (1) ◽  
Author(s):  
Leonid Z. Boguslavskyi ◽  
Larisa Ye. Ovchinnikova ◽  
Serhiy S. Kozyrev
Keyword(s):  
State Vector ◽  
Carbon Nanomaterials ◽  
Process Models

Identifying suboptimalities with factorial model comparison

2018 ◽  
Vol 41 ◽  
Author(s):  
Wei Ji Ma
Keyword(s):  
Experimental Design ◽  
Model Comparison ◽  
Process Models ◽  
Multiple Forms ◽  
Factorial Experimental Design ◽  
Factorial Model ◽  
Multiple Components ◽  
The Many

AbstractGiven the many types of suboptimality in perception, I ask how one should test for multiple forms of suboptimality at the same time – or, more generally, how one should compare process models that can differ in any or all of the multiple components. In analogy to factorial experimental design, I advocate for factorial model comparison.

Monte Carlo Algorithms for Moments of Transition Arrays

1988 ◽  
Vol 102 ◽  
pp. 79-81
Author(s):  
A. Goldberg ◽  
S.D. Bloom
Keyword(s):  
Monte Carlo ◽  
State Vector ◽  
Basis Vector ◽  
Collective State ◽  
Dispersion Characteristics ◽  
Dipole Strength ◽  
The Third ◽  
Monte Carlo Algorithms ◽  
Third Moment ◽  
Very High

AbstractClosed expressions for the first, second, and (in some cases) the third moment of atomic transition arrays now exist. Recently a method has been developed for getting to very high moments (up to the 12th and beyond) in cases where a “collective” state-vector (i.e. a state-vector containing the entire electric dipole strength) can be created from each eigenstate in the parent configuration. Both of these approaches give exact results. Herein we describe astatistical(or Monte Carlo) approach which requires onlyonerepresentative state-vector |RV> for the entire parent manifold to get estimates of transition moments of high order. The representation is achieved through the random amplitudes associated with each basis vector making up |RV>. This also gives rise to the dispersion characterizing the method, which has been applied to a system (in the M shell) with≈250,000 lines where we have calculated up to the 5th moment. It turns out that the dispersion in the moments decreases with the size of the manifold, making its application to very big systems statistically advantageous. A discussion of the method and these dispersion characteristics will be presented.

Re-examining dominance of categories in impression formation: A test of dual-process models.

2018 ◽  
Vol 115 (1) ◽  
pp. 1-30 ◽  
Author(s):  
Brian M. Monroe ◽  
Bryan L. Koenig ◽  
Kum Seong Wan ◽  
Tei Laine ◽  
Swati Gupta ◽  
...  
Keyword(s):  
Impression Formation ◽  
Process Models ◽  
Dual Process ◽  
Dual Process Models

Habitat use of toothed whales in a marine protected area based on point process models

2019 ◽  
Vol 609 ◽  
pp. 239-256 ◽  
Author(s):  
TL Silva ◽  
G Fay ◽  
TA Mooney ◽  
J Robbins ◽  
MT Weinrich ◽  
...  
Keyword(s):  
Habitat Use ◽  
Point Process ◽  
Protected Area ◽  
Marine Protected Area ◽  
Process Models ◽  
Point Process Models

From Process Models to Concurrent Systems in Alvis Language

Informatica ◽  
2017 ◽  
Vol 28 (3) ◽  
pp. 525-545 ◽  
Author(s):  
Marcin Szpyrka ◽  
Grzegorz J. Nalepa ◽  
Krzysztof Kluza
Keyword(s):  
Concurrent Systems ◽  
Process Models
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