The Structural Design, Kinematics, and Workspace Analysis of a Novel Rod–Cable Hybrid Cable-Driven Parallel Robot by Jinrun Li, Yangmin Li

“…The study develops detailed kinematic models, including Jacobian analysis for motion control, and evaluates the workspace using geometric and Monte Carlo methods.…”
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Measuring Interest Rate Risk with Embedded Option Using HPL-MC Method in Fuzzy and Stochastic Environment by Enlin Tang, Wei Du

“…Under the premise that the fluctuation of interest rate follows fuzzy stochastic process, based on the option characteristics of financial instruments with embedded option, this paper takes effective duration and effective convexity as tools to measure interest rate risk when embedded options exist, tries to choose CIR extended model as term structure model, and uses the Monte Carlo method for hybrid low deviation sequences (HPL-MC) to analyze the prepayment characteristics of MBS, a representative financial instrument with embedded options, when interest rates fluctuate; on this basis, the effectiveness of effective duration management of interest rate risk is demonstrated with asset liability management cases of commercial banks.…”
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A Simple Empirical Likelihood Ratio Test for Normality Based on the Moment Constraints of a Half-Normal Distribution by C. S. Marange, Y. Qin

“…The proposed test can also be easily modified to test for departures from half-normality and is relatively simple to implement in various statistical packages with no ordering of observations required. Using Monte Carlo simulations, our test proved to be superior to other well-known existing goodness-of-fit (GoF) tests considered under symmetric alternative distributions for small to moderate sample sizes. …”
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A Multicoefficient Slip-Corrected Reynolds Equation for Micro-Thin Film Gas Lubrication by Eddie Yin-Kwee Ng, Ningyu Liu

“…In comparison with other conventional slip models, it is found that the current results have a better agreement with the solution obtained from the linearized Boltzmann equation and direct simulation of Monte Carlo method (DSMC).…”
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Propagating Characteristics of Pulsed Laser in Rain by Jing Guo, He Zhang, Xiang-jin Zhang

“…In this paper, the absorption and attenuation coefficients were calculated based on the scattering theories in discrete stochastic media, and the propagating characteristics of laser pulse in rain were simulated and analyzed using Monte-Carlo method. Some simulation results were verified by experiments, and the simulation results are well matched with the experimental data, with the maximal deviation not less than 7.5%. …”
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CaloQVAE: Simulating high-energy particle-calorimeter interactions using hybrid quantum-classical generative models by Sehmimul Hoque, Hao Jia, Abhishek Abhishek, Mojde Fadaie, J. Quetzalcoatl Toledo-Marín, Tiago Vale, Roger G. Melko, Maximilian Swiatlowski, Wojciech T. Fedorko

“…Abstract The Large Hadron Collider’s high luminosity era presents major computational challenges in the analysis of collision events. Large amounts of Monte Carlo (MC) simulation will be required to constrain the statistical uncertainties of the simulated datasets below these of the experimental data. …”
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Sequential Confidence Intervals for Comparing Two Proportions with Applications in A/B Testing by Jun Hu, Lijia Zheng, Ibtihal Alanazi

“…Both methods showcase great efficiency, as established via theoretical analysis and Monte Carlo simulations. The practical utility of these methods is demonstrated through two real-world applications: analyzing retention rates in mobile game Cookie Cats and evaluating the effectiveness of online advertising.…”
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Field Results of a Navigation Architecture with Timing Constraints by Jorge Silva, Joao Sequeira, Cristina Santos

“…A localization system based on artificial landmarks is used to obtain location estimates that enable the robot to autonomously cover large distances. Monte Carlo tests assess the architecture under different real environment conditions including recovering from disturbing events such as landmark detection failures, robot kidnapping, unexpected collisions, and changes in the density of obstacles in the environment. …”
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Three-dimensional localization under severely obstructed NLOS environment by Zhu XIAO, Jie CHEN, Dong WANG, Xiao-hong LI, Ren-fa LI

“…In the severely obstructed NLOS(non-line-of-sight)environment,obstacles between the UN(unknown node)and RS(reference station)made the DP(direct path)undetectable.It greatly restricted the application of wireless localization method.A three-dimensional localization scheme,which utilized the distance and orientation information of single-bounce signal,was proposed to evade the DP blocking effect in three-dimensional NLOS environment.Within the proposed localization scheme,three-dimensional spatial location relationship among the RS,UN and scatterers was proven.Anoptimization algorithm based on least mean square was proposed and the mathematical solution to the position relationship was derived.Furthermore,the performance of algorithm is studied by using RMSE(root mean-square error)analysis.Through Monte-Carlo simulations,how distance and orientation deviation of three-dimensional localization frame affect performance of algorithms is examined.It is also demonstrated that the analytical results closely match the simulations,which verifies the effectiveness of the proposed three-dimensional NLOS localization algorithm.…”
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Statistical Inferences of Burr XII Lifetime Models under Joint Type-1 Competing Risks Samples by Tahani A. Abushal, A. A. Soliman, G. A. Abd-Elmougod

“…The numerical computations which described the quality of theoretical results are discussed in the forms of real data analyzed and Monte Carlo simulation study. Finally, numerical results are discussed and listed through some points as a brief comment.…”
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On Extended Neoteric Ranked Set Sampling Plan: Likelihood Function Derivation and Parameter Estimation by Fathy H. Riad, Mohamed A. Sabry, Ehab M. Almetwally, Ramy Aldallal, Randa Alharbi, Md. Moyazzem Hossain

“…Therefore, in this paper, the likelihood function based on ENRSS is proposed and used for estimation of the parameters of the inverted Nadarajah–Haghighi distribution. An extensive Monte Carlo simulation study is conducted to assess the performance of the proposed likelihood function, and the efficiency of the estimated parameters based on ENRSS is compared with the well-known ranked set sampling (RSS) plan and some of its modifications. …”
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Numerical Analysis of Microcracks of Fly Ash/Slag Concrete with Cobble as Coarse Aggregate by Songfang Xie, Mingxing Gao, Hangtian Li

“…In order to improve mechanical properties of fly ash/slag concrete with large size cobble as coarse aggregate, this paper analyzes the effect of different factors on the concrete through the flexural strength test. The Monte Carlo simulation is used in the finite element solver of ANSYS to conduct the four-point bending beam test. …”
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Statistical Investigation of Bearing Capacity of Pile Foundation Based on Bayesian Reliability Theory by Zuolong Luo, Fenghui Dong

“…In order to improve the estimation accuracy of bearing capacity of pile foundation, a new forecast method of bearing capacity of pile foundation was proposed on Jeffrey’s noninformative prior using the MCMC (Markov chain Monte Carlo) method of the Bayesian theory. The proposed approach was used to estimate the parameters of Normal distribution. …”
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Cylindrical Shell with Junctions: Uncertainty Quantification of Free Vibration and Frequency Response Analysis by Harri Hakula, Vesa Kaarnioja, Mikael Laaksonen

“…All stochastic collocation results have been verified with Monte Carlo methods.…”
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Plasma and BIAS Modeling: Self-Consistent Electrostatic Particle-in-Cell with Low-Density Argon Plasma for TiC by Jürgen Geiser, Sven Blankenburg

“…The collision model are based of Monte Carlo simulations is discussed for DC sputtering in lower pressure regimes. …”
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Artificial intelligence in the service of entrepreneurial finance: knowledge structure and the foundational algorithmic paradigm by Robert Kudelić, Tamara Šmaguc, Sherry Robinson

“…Specifically, we present the foundational paradigm and a bespoke demonstration of the Monte Carlo randomized algorithm.…”
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Modeling of the Near-Earth Low-Energy Antiproton Fluxes by U. B. Jayanthi, A. A. Gusev

“…Inclusive invariant cross-sections were obtained through a Monte Carlo procedure using the Multistage Dynamical Model code simulating various processes of the particle production. …”
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Random Statistical Analysis of Transverse Momentum Spectra of Strange Particles and Dependence of Related Parameters on Centrality in High Energy Collisions at the LHC by Xu-Hong Zhang, Fu-Hu Liu, Khusniddin K. Olimov, Airton Deppman

“…Taking into account the contribution of multiquark composition, whose probability density distribution is described by the modified Tsallis–Pareto-type function; we simulate the pT spectra of the final-state strange particles by a Monte Carlo method, which is shown to be in good agreement with the experimental data in most the cases. …”
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Indoor millimeter-wave D2D communication modeling combining self-blockage and common blockage by Lei WANG, Xiao-ting YU, Ming-kai CHEN, Yi QIAN

“…The high transmission rate characteristic of millimeter wave (mmWave) technology can meet the requirements of large amount of data communications among intelligent devices for indoor scenario.While guaranteeing high throughput,reducing the interference simultaneously in a closed region is still a challenge.For indoor transmission,the human bodies are considered as main blockages besides common blockages.Thus,a new system model is presented,constructing the human body into a self-blockage model,while using multi-ball LOS link state model to describe the conventional blockage.The combination of the two will give a more comprehensive and accurate expression of indoor obstruction.The proposed model uses stochastic geometry to analyze system performance by giving a closed expression of coverage and rate.The simulation results show that the model is accurate to describe the distribution of blockages via the comparison between analysis and Monte Carlo simulations.…”
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5D Parameter Estimation of Near-Field Sources Using Hybrid Evolutionary Computational Techniques by Fawad Zaman, Ijaz Mansoor Qureshi

“…The proposed schemes produced fairly good results in terms of estimation accuracy, convergence rate, and robustness against noise. A large number of Monte-Carlo simulations are carried out to test out the validity and reliability of each scheme.…”
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