Improved Inference for Moving Average Disturbances in Nonlinear Regression Models by Pierre Nguimkeu

“…Compared to the commonly used first-order methods such as likelihood ratio and Wald tests which rely on large samples and asymptotic properties of the maximum likelihood estimation, the proposed method has remarkable accuracy. Monte Carlo simulations are provided to show how the proposed method outperforms the existing ones. …”
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NON-DAMAGE BUSINESS INTERRUPTION INSURANCE POLICIES DURING THE COVID-19 PANDEMIC by Marina Brogi, Valentina Lagasio, Fabrizio Santoboni

“…The model employs a Monte Carlo simulation of different lockdown scenarios: the frequency and severity distributions of losses of Italian SMEs. …”
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A NEW FAILURE PROBABILITY COMPUTING METHOD FOR MECHANICAL COMPONENTS by ZHANG YanFang, ZHANG YanLin

“…Two numerical examples are employed to illustrate the accuracy and efficiency of the proposed method and the second moment method by comparing the failure probability results.The results obtained by the proposed new method and the second moment method are compared with those obtained by Monte-Carlo Simulation（ MCS） respectively. The results show that the new method can calculate the failure probability of mechanical components effectively.…”
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The Failure of Orthogonality under Nonstationarity: Should We Care About It? by Jose A. Campillo-García, Daniel Ventosa-Santaulària

“…In this work, an optimistic corollary is provided: it is proven that the LS regression, employed in nonstationary and cointegrated variables where the orthogonality assumption is not satisfied, provides estimates that converge to their true values. Monte Carlo evidence suggests that this property is maintained in samples of a practical size.…”
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Nonparametric estimators for varextropy under $\alpha$-mixing condition with appliction in exponential AR(1) model by Raheleh Zamini, Faranak Goodarzi, Mohamad Salimi

“…Moreover, the comparison of the proposed estimators for varextropy in terms of the bias and mean squared error has been done by Monte Carlo method. Furthermore, a real data example is presented.…”
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Implementation Aspects in Simulation Extrapolation-Based Stocking–Lord Linking by Alexander Robitzsch

“…This article evaluates two computational shortcuts to SIMEX-based SL linking through a simulation study: a quasi-Monte Carlo method that replicates items and a proposal using an approximate noniterative estimation instead of the iterative one in the SIMEX application of SL linking. …”
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MODELING THE RISKS OF DEVELOPING AND IMPLEMENTING THE INFRASTRUCTURE PROJECT BASED ON NETWORK PLANNING METHODS by A. I. Denisova

“…For each scenario, a series of Monte Carlo tests is accomplished. The value of the risk is estimated based on the expected values of the traditional financial and temporal characteristics of the project. …”
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Analysis on Cable Fault Tolerance Kinematics Space of Cable-driven Snake-arm Robots by Chen Huiqing, Yang Taiwei

“…In this study, coordinates are built according to Denavit-Hartenberg (D-H) method based on structure characteristics of cable-driven snake-arm robots , and then kinematics analysis is conducted with Monte Carlo method. The reachable space ranges of the cable-driven snake-arm under different modes is simulated by Matlab. …”
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Stochastic Behaviour of Mistuned Stator Vane Sectors: An Industrial Application by A.C. Sall, F. Thouverez, L. Blanc, P. Jean

“…Polynomial chaos based results are in good agreement with reference Monte Carlo simulations.…”
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An Empirical Model of Angle-of-Arrival Variance for a Gaussian Wave Propagation through Non-Kolmogorov Turbulence by Chao Gao, Libin Jiao, Xiaofeng Li

“…The proposed model is approximately expressed as the linear weighted average between the AOA variances of the plane and spherical waves. The Monte Carlo method is applied to validate the proposed model. …”
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STRUCTURE RELIABILITY CALCULATION METHOD BASED ON IMPROVED NEURAL NETWORK by LI YongHua, CHEN Peng, TIAN ZongRui, CHEN ZhiHao

“…Finally, the reliability calculation results were calculated with the Monte Carlo method. The results show that the proposed method improves the fitting accuracy and gives consideration to the calculation efficiency, which verifies the superiority and feasibility of the proposed method.…”
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Research of Transmission Accuracy of Multistage Gear Drive System based on Error Coupling Compensation by Wang Chaobing, Peng Lingyang, Liu Leping, Xu Younan, Zhang Long, Tu Wenbing, Ma Honghao

“…Then,the system transmission accuracies are both calculated by the Monte Carlo method when it is under the random assembly of the components and it is improved machining accuracy of some parts. …”
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ANALYSIS AND MODELING OF TERMINAL POSITION ERROR OF PARALLEL MANIPULATOR BASED ON MDH METHOD by ZHANG YunFan, CHEN JinJie, HAO XinLong

“…The corresponding simulation experiment of error distribution is carried out by using the Monte-Carlo method in Matlab, and the distribution characteristics of the manipulator’s terminal position error under different machining tolerance are obtained, then the accuracy of the prediction model is verified by the prototype experiment. …”
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Best Prediction Method for Progressive Type-II Censored Samples under New Pareto Model with Applications by Hanan Haj Ahmad

“…Since Bayes estimators cannot be expressed explicitly, Gibbs and the Markov Chain Monte Carlo techniques are utilized for Bayesian calculation. …”
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CMM Influence Factors and Uncertainty Associated with Length Measurement by Alistair Forbes

“…The uncertainty evaluation methodology is direct in that it requires no optimisation nor Monte Carlo simulations.…”
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NON-DAMAGE BUSINESS INTERRUPTION INSURANCE POLICIES DURING THE COVID-19 PANDEMIC by Marina Brogi, Valentina Lagasio, Fabrizio Santoboni

“…The model employs a Monte Carlo simulation of different lockdown scenarios: the frequency and severity distributions of losses of Italian SMEs. …”
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IMPROVED CROSS-MODEL MODAL STRAIN ENERGY METHOD FOR STRUCTURAL DAMAGE LOCALIZATION by ZHANG YaRu, MA Jun, WU XiaoShun

“…A planar truss is taken as the numerical example, with the Monte Carlo analysis carried out in consideration of 5% noise level. …”
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Pricing Chinese Convertible Bonds with Dynamic Credit Risk by Ping Li, Jing Song

“…To price convertible bonds more precisely, least squares Monte Carlo (LSM) method is used in this paper for its advantage in handling the dependence of derivatives on the path, and dynamic credit risk is used to replace the fixed one to make the value of convertible bonds reflect the real credit risk. …”
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Robust and Unbiased Variance of GLM Coefficients for Misspecified Autocorrelation and Hemodynamic Response Models in fMRI by Lourens Waldorp

“…Using this result, it is possible to obtain an exact statistic which keeps the 5% false positive rate. Extensive Monte Carlo simulations show that the sandwich is robust against misspeci cation of the autocorrelations and of the hemodynamic response model. …”
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Density-functional theory formulated in terms of functional integrals by Gérald Faussurier

“…This work could be of interest to people working in the field of quantum Monte Carlo methods at finite temperature.…”
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