Comparison of Different Confidence Intervals under Type-I Censoring Scheme by Ali Algarni, Abdullah M. Almarashi, Debasis Kundu, G. A. Abd-Elmougod, Sayed Abdel-Khalek

“…Under the Bayesian approach, the unknown parameter is estimated and the corresponding credible interval is obtained considering the prior information formulated with the inverted gamma distribution. The Monte Carlo simulation study is used to compare different methods. …”
Get full text

Outage performance of multi-RIS-assisted NOMA system with imperfect serial interference cancellation by Jiaqing QIN, Liping LUO, Jing ZHOU

“…Considering the practical communication environments, the outage performance and the throughput were investigated for multiple reconfigurable intelligent surfaces (RIS) assisted non-orthogonal multiple access (NOMA) system with imperfect serial interference cancellation (SIC).The channel coefficients of the RIS-assisted NOMA system including the direct and the reflecting paths were approximated by Gamma distribution.An approximate closed-form expressions of outage probability were derived and validated through Monte Carlo simulations.The study investigated the relationship between the outage performance and system parameters, including the impact of imperfect SIC, the number of RIS and the number of reflecting units.The simulation results demonstrate that, compared with the single RIS-assisted NOMA and the traditional NOMA system, the multi-RIS-assisted system achieves a 14.2 dBm gain in signal-to-noise ratio (SNR) for a given outage probability.Thus, employing multiple RISs can improve the outage performance and the system throughput effectively, thereby compensating for the performance degradation caused by imperfect SIC.…”
Get full text

Validation of Simple Equations Describing the Adsorption of Binary Gas Mixtures onto Surfaces with an Asymmetric Distribution of Adsorption Energy by Paweł Szabelski, Krzysztof Nieszporek, Mateusz Drach

“…The Monte Carlo simulation method was used to test the accuracy of approximate equations derived for binary gas adsorption onto a heterogeneous surface characterized by a Dubinin-Astakhov adsorption energy distribution (AED) function. …”
Get full text

Within‐chain parallelization—Giving Stan Jet Fuel for population modeling in pharmacometrics by Casey Davis, Pavan Vaddady

“…To perform a Bayesian data analysis, most models in pharmacometrics require Markov Chain Monte Carlo (MCMC) methods to sample from the posterior distribution. …”
Get full text

Prediction of Fatigue Life of a Continuous Bridge Girder Based on Vehicle Induced Stress History by V.G. Rao, S. Talukdar

“…Vehicle induced time history of maximum flexural stresses has been obtained by Monte Carlo simulation process and utilized to develop the stress range frequency histogram taking into consideration of the annual traffic volume. …”
Get full text

Estimations in a Constant-Stress Partially Accelerated Life Test for Generalized Rayleigh Distribution under Type-II Hybrid Censoring Scheme by Abdalla Rabie, Eslam Hussam, Abdisalam Hassan Muse, Ramy Abdelhamid Aldallal, Amirah Saeed Alharthi, Hassan M. Aljohani

“…Bayesian and E-Bayesian estimates are obtained using Markov chain Monte Carlo (MCMC) methods. To prove the applicability and the importance of the subject, a test for real data will be provided. …”
Get full text

Outage performance of multi-relay collaborative NOMA systems supporting multiple multicast services by Yifei CHU, Xinjie YANG

“…A cooperative non-orthogonal multiple access (NOMA) system was proposed to support unicast primary user and multiple multicast services based on multiple relays strategy.Under the Rayleigh channel, the secondary user with the best channel condition from each multicast group was selected as full-duplex relay to decode and forward the unicast primary user’s signal, and the primary user employed the maximum ratio combining (MRC) technique to improve the signal to interference and noise ratio (SINR).The closed-form expressions for the outage probability of primary user in full-duplex and half-duplex modes with multi-relay simultaneous forwarding (MRSF) and optimal relay forwarding (ORF) were derived and verified by Monte Carlo simulations.The results verify that full-duplex relay outperforms half-duplex relay scheme.Furthermore, with same number of multicast groups, the MRSF strategy effectively improve the unicast primary user outage performance, in comparison with ORF strategy, when the number of multicast groups increases, the improvement becomes more significant.…”
Get full text

An Incremental-Hybrid-Yager’s Entropy Model for Dynamic Portfolio Selection with Fuzzy Variable by Yin Li, Jian Tao, Yazhi Song

“…At last, a compromised genetic algorithm is designed, and the numerical example shows that the proposed model achieves solid returns compared against the mean-variance model and Markov chain Monte Carlo method.…”
Get full text

Design and Optimization of the Master Manipulator of Minimally Invasive Surgery Robots by Liu Fen, Song Liqiang, Huang Fang, Han Rui, Sang Hongqiang

“…The forward kinematic and inverse kinematic models of the master manipulator are respectively established by using the improved D-H parameter method and the analytical method, and the workspace of the master manipulator is verified by the Monte Carlo method, which meets its design requirement. …”
Get full text

Bayesian Estimation of Archimedean Copula-Based SUR Quantile Models by Nachatchapong Kaewsompong, Paravee Maneejuk, Woraphon Yamaka

“…As there are many parameters to be estimated, we consider the Bayesian Markov chain Monte Carlo approach to estimate the parameter interests in the model. …”
Get full text

Estimation of partially linear single-index spatial autoregressive model using B-splines by Lei Liu, Jun Dai

“…The asymptotic properties of parameter and function estimates are established. Monte Carlo simulation studies are conducted to investigate the performance of the proposed estimation methodology and calculation procedure. …”
Get full text

The edge of random tensor eigenvalues with deviation by Nicolas Delporte, Naoki Sasakura

“…We support our claims with Monte Carlo simulations. We believe that our results set the ground for a definition of pseudospectrum of random tensors based on Z-eigenvalues.…”
Get full text

Nonlinear Augmented Proportional Navigation for Midrange Rendezvous Guidance and Performance Assessment by Weilin Wang, Xumin Song

“…The simulation results show that the accuracy of the proposed method is compatible with Monte Carlo simulation which requires extensive computational effort.…”
Get full text

Autoregressive neural quantum states of Fermi Hubbard models by Eduardo Ibarra-García-Padilla, Hannah Lange, Roger G. Melko, Richard T. Scalettar, Juan Carrasquilla, Annabelle Bohrdt, Ehsan Khatami

“…Neural quantum states (NQSs) have emerged as a powerful ansatz for variational quantum Monte Carlo studies of strongly correlated systems. …”
Get full text

Exact Interval Inference for the Two-Parameter Rayleigh Distribution Based on the Upper Record Values by Jung-In Seo, Jae-Woo Jeon, Suk-Bok Kang

“…Finally, the validity of the proposed inference methods was examined from Monte Carlo simulations and real data.…”
Get full text

RELIABILITY ANALYSIS OF REACTION FORCE DEVELOPED IN THE LUBRICATED REVOLUTE JOINT FOR A SLIDER-CRANK SYSTEM INCLUDING JOINT WITH CLEARANCE AND LUBRICATION by ZHAO Kuan, XUE He, CHEN JianJun, QIAO XinZhou

“…Then approximate function relation between random parameters and performance function is derived and the reliability of the reaction force developed in the lubricated revolute joint of the crank-slider mechanism is discussed by Monte-Carlo method. Finally,take an example to verify the feasibility and effectiveness of the proposed method.…”
Get full text

An RBF-LOD Method for Solving Stochastic Diffusion Equations by Samaneh Mokhtari, Ali Mesforush, Reza Mokhtari, Rahman Akbari

“…To navigate the probabilistic space inherent in these equations, we employ the Monte Carlo method, providing accurate estimates for expectations and variations. …”
Get full text

Gamma-ray and Neutron Shielding Capacity of Glasses with Various Energies and (_ ^241)Am-Be Source by H. Hosseini Sarteshnizi, M. Eshghi

“…We have calculated mass attenuation coefficient (MAC) by using the Monte Carlo simulations such as Geant4 tool, XMuDat and XCOM computing programs. …”
Get full text

Performance Index Analysis and Structural Parameter Optimization of PRP_AS/2-PUPR Parallel Mechanical Leg by Liu Yong, Xu Yong, Chen Jiali, Lü Yeping

“…The positive and negative solutions of the position are used to prove that the mechanical leg has partial decoupling performance; the working space of the mechanical leg is searched by Monte Carlo method. Based on the first-order influence coefficient matrix and the second-order influence coefficient matrix，the speed global performance index and the acceleration global performance index of the mechanical leg are obtained，and the structural parameters are numerically determined to obtain a better range of structural parameters. …”
Get full text

Model and Algorithm for Dependent Activity Schedule Optimization Combining with BIM by Guofeng Ma, Xiaoye Liu

“…Then, the overlap and communication strategies are decided by calculating the maximum revenue using Monte Carlo simulation and MATLAB based on overlap cost, communication cost, rework cost, and reward amount. …”
Get full text