scholarly journals Selection of the Number of Factors in Presence of Structural Instability: A Monte Carlo study

2016 ◽  
Vol 91 (1-2) ◽  
pp. 177-233 ◽  
Author(s):  
Charles Olivier Mao Takongmo ◽  
Dalibor Stevanovic
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Monte Carlo Study ◽  
Structural Instability ◽  
Factor Models ◽  
Time Varying ◽  
Selection Methods ◽  
Number Of Factors ◽  
The Empirical Analysis ◽  
Selection Of

In this paper we study the selection of the number of primitive shocks in exact and approximate factor models in the presence of structural instability. The empirical analysis shows that the estimated number of factors varies substantially across several selection methods and over the last 30 years in standard large macroeconomic and financial panels. Using Monte Carlo simulations, we suggest that the structural instability, expressed as time-varying factor loadings, can alter the estimation of the number of factors and therefore provides an explanation for the empirical findings.

scholarly journals Adsorption of H2 on Penta-Octa-Penta Graphene: Grand Canonical Monte Carlo Study

2020 ◽  
Vol 6 (2) ◽  
pp. 20
Author(s):  
Maxim N. Popov ◽  
Thomas Dengg ◽  
Dominik Gehringer ◽  
David Holec
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Hydrogen Adsorption ◽  
Monte Carlo Study ◽  
Adsorption Properties ◽  
Cryogenic Temperatures ◽  
Grand Canonical Monte Carlo ◽  
New Material ◽  
Grand Canonical ◽  
Carbon Based

In this paper, we report the results of hydrogen adsorption properties of a new 2D carbon-based material, consisting of pentagons and octagons (Penta-Octa-Penta-graphene or POP-graphene), based on the Grand-Canonical Monte Carlo simulations. The new material exhibits a moderately higher gravimetric uptake at cryogenic temperatures (77 K), as compared to the regular graphene. We discuss the origin of the enhanced uptake of POP-graphene and offer a consistent explanation.

Topological defects in nematic films between planar degenerate surfaces. A Monte Carlo study

2021 ◽  
pp. 2250016
Author(s):  
Cesare Chiccoli ◽  
Paolo Pasini ◽  
Luiz Roberto Evangelista ◽  
Rodolfo Teixeira de Souza ◽  
Claudio Zannoni
Keyword(s):  
Monte Carlo ◽  
Boundary Conditions ◽  
Monte Carlo Simulations ◽  
Defect Structure ◽  
Topological Defects ◽  
Monte Carlo Study ◽  
Geometric Parameters ◽  
Molecular Organization ◽  
The One

The molecular organization of a nematic film sandwiched between two planar randomly aligned surfaces is studied by means of detailed Monte Carlo simulations. The formation as well as the evolution of topological defects induced by these particular boundary conditions are investigated. The resulting defect structure is compared with the one induced by hybrid aligned surfaces. The observation of such defects and some features of their structures can be associated with geometric parameters of the film and with properties of the confining surfaces.

Monte Carlo simulations of weak polyelectrolyte microgels: pH-dependence of conformation and ionization

Soft Matter ◽  
2018 ◽  
Vol 14 (20) ◽  
pp. 4087-4100 ◽  
Author(s):  
C. Hofzumahaus ◽  
P. Hebbeker ◽  
S. Schneider
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Ph Dependence ◽  
Monte Carlo Study ◽  
Swelling Behavior ◽  
Ph Dependent

A Monte Carlo study of the pH-dependent ionization and swelling behavior of weak polyelectrolyte microgels.

A Proposed Solution to the Problem With Using Completely Random Data to Assess the Number of Factors With Parallel Analysis

2011 ◽  
Vol 72 (3) ◽  
pp. 357-374 ◽  
Author(s):  
Samuel B. Green ◽  
Roy Levy ◽  
Marilyn S. Thompson ◽  
Min Lu ◽  
Wen-Juo Lo
Keyword(s):  
Monte Carlo ◽  
Principal Axis ◽  
Monte Carlo Study ◽  
Heuristic Approach ◽  
Parallel Analysis ◽  
Analysis Method ◽  
Random Data ◽  
Five Dimensions ◽  
Number Of Factors ◽  
Principal Axis Factoring

A number of psychometricians have argued for the use of parallel analysis to determine the number of factors. However, parallel analysis must be viewed at best as a heuristic approach rather than a mathematically rigorous one. The authors suggest a revision to parallel analysis that could improve its accuracy. A Monte Carlo study is conducted to compare revised and traditional parallel analysis approaches. Five dimensions are manipulated in the study: number of observations, number of factors, number of measured variables, size of the factor loadings, and degree of correlation between factors. Based on the results, the revised parallel analysis method, using principal axis factoring and the 95th percentile eigenvalue rule, offers promise.

scholarly journals Qualitative analysis of irregular fields delivered with dual electron multileaf collimator: A Monte Carlo study

2016 ◽  
Vol 22 (1) ◽  
pp. 5-9
Author(s):  
Samuel Okon Inyang ◽  
Alan Chamberlain
Keyword(s):  
Monte Carlo ◽  
Electron Beam ◽  
Qualitative Analysis ◽  
Monte Carlo Simulations ◽  
Electron Beams ◽  
Monte Carlo Study ◽  
Multileaf Collimator ◽  
Water Phantom ◽  
Electron Beam Therapy

Abstract The use of a dual electron multileaf collimator (eMLC) to collimate therapeutic electron beam without the use of cutouts has been previously shown to be feasible. Further Monte Carlo simulations were performed in this study to verify the nature and appearance of the isodose distribution in water phantom of irregular electron beams delivered by the eMLC. Electron fields used in this study were selected to reflect those used in electron beam therapy. Results of this study show that the isodose distribution in a water phantom obtained from the simulation of irregular electron beams through the eMLC conforms to the pattern of the eMLC used in the delivery of the beam. It is therefore concluded that the dual eMLC could deliver isodose distributions reflecting the pattern of the eMLC field that was used in the delivery of the beam.

The adsorption of a mixture of particles with non-additive interactions: a Monte Carlo study

2015 ◽  
Vol 17 (5) ◽  
pp. 3050-3058 ◽  
Author(s):  
O. A. Pinto ◽  
P. M. Pasinetti ◽  
A. J. Ramirez-Pastor ◽  
F. D. Nieto
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Binary Mixtures ◽  
Lattice Gas ◽  
Monte Carlo Study ◽  
Lattice Gas Model ◽  
Grand Canonical Monte Carlo ◽  
Lateral Interactions ◽  
Additive Interactions ◽  
Grand Canonical

The adsorption of binary mixtures with non-additive lateral interactions has been studied through grand canonical Monte Carlo simulations in the framework of the lattice-gas model.

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