1972
DOI: 10.2307/2345038
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The Use of the Monte Carlo Method for Solving Large-Scale Problems in Neutronics

Abstract: This paper reviews experiences based on the use of the Monte Carlo method for solving large-scale problems in neutronics.

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Cited by 4 publications
(2 citation statements)
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“…The Monte-Carlo method is the nearest thing to a controlled laboratory type experiment in econometrics Intrilligator et al (1996);Johnston (1984) , Agunbiade (2007), Carlin et al, (1992), Kmenta and Joseph (1963), Parker (1972), Wagnar (1958), Olayemi and Olayide (1981) and Koutsoyiannis (2008). The MCA has been applied not only to Multicollinearity effect but also to choice of alternative estimators in determining the impact of heteroscedasticity, serial correlation and other violations of basic econometric assumptions on the performance of different estimators in a given study.…”
Section: Methodsmentioning
confidence: 99%
“…The Monte-Carlo method is the nearest thing to a controlled laboratory type experiment in econometrics Intrilligator et al (1996);Johnston (1984) , Agunbiade (2007), Carlin et al, (1992), Kmenta and Joseph (1963), Parker (1972), Wagnar (1958), Olayemi and Olayide (1981) and Koutsoyiannis (2008). The MCA has been applied not only to Multicollinearity effect but also to choice of alternative estimators in determining the impact of heteroscedasticity, serial correlation and other violations of basic econometric assumptions on the performance of different estimators in a given study.…”
Section: Methodsmentioning
confidence: 99%
“…In addition, an extensive Monte Carlo simulation experiment will be performed. There are many papers concerning Monte Carlo methods in the literature, including: Wagnar (), Kmenta and Joseph (), Summers (), Quandt (), Cragg (), Parker (), Hendry (), Park (), Johnston (), Capps and Grubbs (), Carlin, Polson, and Stoffer (), Koutsoyiannis (), Agunbiade (, ), Agunbiade and Iyaniwura (), Toker et al (), Özbay and Toker (, ), and Toker ().…”
Section: Introductionmentioning
confidence: 99%