scholarly journals Alternative to Tukey test

2020 ◽  
Vol 44 ◽  
Author(s):  
Ben Dêivide de Oliveira Batista ◽  
Daniel Furtado Ferreira
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Error Rate ◽  
The Other ◽  
Multiple Comparison ◽  
Tukey Test ◽  
Experimentwise Error Rate ◽  
Other Hand ◽  
Multiple Comparison Procedures

ABSTRACT In order to search for an ideal test for multiple comparison procedures, this study aimed to develop two tests, similar to the Tukey and SNK tests, based on the distribution of the externally studentized amplitude. The test names are Tukey Midrange (TM) and SNK Midrange (SNKM). The tests were evaluated based on the experimentwise error rate and power, using Monte Carlo simulation. The results showed that the TM test could be an alternative to the Tukey test, since it presented superior performances in some simulated scenarios. On the other hand, the SNKM test performed less than the SNK test.

THE HARDNESS SPECTRUM OF QUARK- AND GLUON-JETS PRODUCED BY DIFFERENT FLAVOR QUARKS

2008 ◽  
Vol 23 (26) ◽  
pp. 4337-4343 ◽  
Author(s):  
FENG-GE TIAN ◽  
GANG CHEN ◽  
HUI-LING WEI
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Transverse Momentum ◽  
The Other ◽  
Other Hand ◽  
Gluon Jets ◽  
Quark Jets

The hardness properties of quark- and gluon-jets produced by different flavor quarks are compared in 3-jet events of e+e- collision generated with Monte Carlo Simulation Jetset 7.4 generator at [Formula: see text]. The 3-jet events are obtained using the Durham algorithm and the quark- and gluon-jets are identified by angular-method. The average values of transverse momentum 〈pt〉, multiplicity 〈N〉 and rapidity 〈y〉 versus hardness for quark- and gluon-jets of different flavors are compared. It turns out that the distributions of 〈pt〉, 〈N〉 and 〈y〉 versus hardness of quark-jets are different to their flavors, while those of the gluon-jets are insensitive to the flavors. On the other hand, the 〈pt〉 and 〈N〉 of quark- and gluon-jets are strong positive correlated with hardness, but the 〈y〉 of those are negatively correlated with hardness.

Monte Carlo simulation of proton therapy using bio-nanomaterials

2016 ◽  
Vol 15 (3) ◽  
pp. 290-295
Author(s):  
Chafika Belamri ◽  
Anis Samy Amine Dib ◽  
Ahmed H. Belbachir
Keyword(s):  
Monte Carlo Simulation ◽  
Gold Nanoparticles ◽  
Silver Nanoparticles ◽  
Monte Carlo ◽  
Cancer Therapy ◽  
Proton Therapy ◽  
Platinum Nanoparticles ◽  
The Other ◽  
Other Hand

AbstractIntroductionIn recent years, there has been a spectacular development in nanomedicine field with new nanoparticles for diagnosis and cancer therapy. Although most researchers have been always interested in gold nanoparticles (GNPs)Materials and methodsIn the present work we present a comparison between the use of bio-nanomaterials in proton therapy.ConclusionConsequently, our results show that platinum nanoparticles (PtNPs) present an interesting advantages comparing with GNPs and silver nanoparticles. On the other hand, the use of PtNPs facilitates in a considerable way the proton therapy.

Monte Carlo Simulation of Diffusion with Uniform Sinks and Sources for Vacancies

2005 ◽  
Vol 237-240 ◽  
pp. 1168-1173 ◽  
Author(s):  
Jaroslav Ženíšek ◽  
Jiří Svoboda ◽  
Franz Dieter Fischer
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Monte Carlo Model ◽  
Kirkendall Effect ◽  
The Self ◽  
The Other ◽  
Other Hand ◽  
Self Consistent

A new concept of generation and annihilation of vacancies at uniform sinks and sources for vacancies is incorporated into the standard Monte Carlo model for vacancy mediated diffusion. This model enables to treat the vacancy wind as well as the deformation of the specimen and the shift of the Kirkendall plane. The Monte Carlo model is used for the testing of the recent phenomenological theories of diffusion by Darken, Manning and Moleko. The agreement with the self-consistent Moleko theory is excellent. On the other hand the agreement with the classical Darken theory used very often for the explanation of the Kirkendall effect is rather poor.

On the Glass Transition in Polymer Films: Recent Monte Carlo Results

1998 ◽  
Vol 543 ◽  
Author(s):  
J. Baschnagel ◽  
K. Binder
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Diffusion Coefficient ◽  
Glass Transition ◽  
Polymer Film ◽  
Polymer Films ◽  
The Other ◽  
Strong Tendency ◽  
Other Hand ◽  
A Chain

AbstractThis paper reports results of a Monte Carlo simulation for a simplified lattice modelof a supercooled polymer film. The film geometry is realized by two opposite hard walls.The distance between the walls is varied. The chains exhibit a strong tendency to orientparallel to the walls and are flattened when being very close to them. This deviation of thepolymer structure with respect to the bulk is accompanied by an acceleration of local densityfluctuations. On the other hand, the diffusion coefficient of a chain remains unaffected.

Pairwise Multiple Comparison Procedures with Unequal N’s and/or Variances: A Monte Carlo Study

1976 ◽  
Vol 1 (2) ◽  
pp. 113-125 ◽  
Author(s):  
Paul A. Games ◽  
John F. Howell
Keyword(s):  
Monte Carlo ◽  
Sample Size ◽  
Error Rate ◽  
Type I Error ◽  
Monte Carlo Study ◽  
Multiple Comparison ◽  
Type I ◽  
Type I Errors ◽  
Type I Error Rate ◽  
Multiple Comparison Procedures

Three different methods for testing all pairs of yȳk, - yȳk’ were contrasted under varying sample size (n) and variance conditions. With unequal n’s of six and up, only the Behrens-Fisher statistic provided satisfactory control of both the familywise rate of Type I errors and Type I error rate on each contrast. Satisfactory control with unequal n’s of three and up is dubious even with this statistic.

Simultaneous Multiple Comparison Procedures in Psychiatric Research

1986 ◽  
Vol 20 (1) ◽  
pp. 46-54 ◽  
Author(s):  
Wayne Hall ◽  
Kevin D. Bird
Keyword(s):  
Analysis Of Variance ◽  
Error Rate ◽  
Psychiatric Research ◽  
Experimentwise Error Rate ◽  
Research Designs ◽  
Dependent Variables ◽  
Post Hoc ◽  
Linear Contrasts ◽  
Multiple Comparison Procedures

Methods are presented for using linear contrasts to make inferences about differences between the means of several populations on continuous dependent variables. These methods control the experimentwise error rate (the probability of committing one or more type 1 errors in the set of decisions made within the experiment) for linear contrasts which compare some sub-sets of populations with others. Appropriate methods are outlined for testing contrasts which have been planned (i.e., specified independently of the data on which they are tested) and defined post hoc (i.e., after an inspection of the data). We show how these methods can be adapted to the analysis of data from factorial analysis of variance research designs.

Probit-Based Time-Dependent Stochastic User Equilibrium Traffic Assignment Model

2008 ◽  
Vol 2085 (1) ◽  
pp. 86-94 ◽  
Author(s):  
Kuilin Zhang ◽  
Hani S. Mahmassani ◽  
Chung-Cheng Lu
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Spatial Correlation ◽  
Traffic Assignment ◽  
User Equilibrium ◽  
The Other ◽  
Time Dependent ◽  
Stochastic User Equilibrium ◽  
Assignment Model ◽  
Temporal And Spatial

This study presents a time-dependent stochastic user equilibrium (TDSUE) traffic assignment model within a probit-based path choice decision framework that explicitly takes into account temporal and spatial correlation (traveler interactions) in travel disutilities across a set of paths. The TDSUE problem, which aims to find time-dependent SUE path flows, is formulated as a fixed-point problem and solved by a simulation-based method of successive averages algorithm. A mesoscopic traffic simulator is employed to determine (experienced) time-dependent travel disutilities. A time-dependent shortest-path algorithm is applied to generate new paths and augment a grand path set. Two vehicle-based implementation techniques are proposed and compared in order to show their impact on solution quality and computational efficiency. One uses the classical Monte Carlo simulation approach to explicitly compute path choice probabilities, and the other determines probabilities by sampling vehicles’ path travel costs from an assumed perception error distribution (also using a Monte Carlo simulation process). Moreover, two types of variance-covariance error structures are discussed: one considers temporal and spatial path choice correlation (due to path overlapping) in terms of aggregated path travel times, and the other uses experienced (or empirical) path travel times from a sample of individual vehicle trajectories. A set of numerical experiments are conducted to investigate the convergence pattern of the solution algorithms and to examine the impact of temporal and spatial correlation on path choice behavior.

scholarly journals Monte Carlo Simulation of Adsorption Processes on Heterogeneous Crystal Surfaces

2021 ◽  
Author(s):  
◽  
Leila Rajabibonab
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Crystal Growth ◽  
Block Copolymer ◽  
Crystal Surface ◽  
Kinetic Monte Carlo ◽  
Effective Rate ◽  
The Other ◽  
Surface Energies ◽  
Adsorption Processes

<p>The simulation of adsorption processes on a heterogeneous crystal surface is the main interest of this thesis. Two applications of this event have been developed with Kinetic Monte Carlo simulation. One is how to control the crystal growth by macromolecules and the other is how to measure the effective rate of interactions near a crystal surface. The first part of this thesis, considers the effective rate of catalytic conversion on a heterogeneous catalytic surface. We assume the crystal surface has two types of active site, one is neutral and the other one is highly active. We compared our result from simulation with the analytical method that is given by the homogenization theory. Our result revealed the importance of patterns of surface energies and the size of them on reaction rate.  In the second project we consider the adsorption of a homopolymer chain on a crystal surface with two types of surface energies in order to limit the growth of one site and let the other sites grow more. We developed a new Kinetic Monte Carlo simulation method in this part, which was also applied to block copolymer chains that are more complex than a homo-polymer chain. Using this method four important phases of the polymer chains at high temperatures and also the free energies of the system across different patterns of active sites have been found. We tested different types of co-polymers to find the most differentiative block copolymer for controlling the crystal growth.</p>

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