The New Novel Discrete Distribution with Application on COVID-19 Mortality Numbers in Kingdom of Saudi Arabia and Latvia by M. Nagy, Ehab M. Almetwally, Ahmed M. Gemeay, Heba S. Mohammed, Taghreed M. Jawa, Neveen Sayed-Ahmed, Abdisalam Hassan Muse

“…This paper aims to introduce a superior discrete statistical model for the coronavirus disease 2019 (COVID-19) mortality numbers in Saudi Arabia and Latvia. …”
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Improving the Body Area Line-of-Sight Density Model: A Theoretical Study by Xiaodong Yang, Zhiya Zhang, Shuyuan Yang, Qammer Hussain Abbasi, Wei Zhao

“…The statistical model plays an important role in BAN radio propagation characterization. …”
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Investigation of design space for freeze-drying injectable ibuprofen using response surface methodology by Preskar Maja, Videc Danijel, Vrečer Franc, Gašperlin Mirjana

“…This study explores the use of a statistical model to build a design space for freeze-drying two formulations with ibuprofen. …”
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THE INFLUENCE OF SIZE EFFECT ON THE FRACTURE STRENGTH OF UNIDIRECTIONAL GLASS FIBER REINFORCED POLYPROPYLENE COMPOSITE by ZHU YuYang, ZHAI JianGuang, GAO Chun, LU HuiQin

“…Because the fracture strength of unidirectional GF/PP composites has a large dispersion, the distribution law of the strength of unidirectional GF/PP composites under different size conditions is obtained through the classic two-parameter Weibull strength statistical model, and the improved generalized The two-parameter weakest chain strength statistical model introduces the exponential parameterβto modify the influence of the spatial distribution of defects. …”
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Correlated systematic uncertainties and errors-on-errors in measurement combinations with an application to the 7–8 TeV ATLAS–CMS top quark mass combination by Enzo Canonero, Glen Cowan

“…Abstract The Gamma Variance Model is a statistical model that incorporates uncertainties in the assignment of systematic errors (informally called errors-on-errors). …”
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Statistical Timing Analysis for Subthreshold Circuit Based on Bayesian Inference by Donglin Liu, Yuping Wu, Zhiqiang Li, Xuelian Zhang, Xi Tian

“…In this study, a statistical model for path delay that is independent of the cell delay model is proposed. …”
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Evaluation of Electric Power Saving Due to Oil Slime Cleaning in Linear Part of Oil Pipeline by V. A. Anischenko, N. V. Tokochakova, А. S. Fikov

“…The proposed method is based on statistical model developed on the basis of 24-hourly statistics reflecting modes of electric power consumption that take place at an enterprise. …”
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Energy Efficient Distributed Fault Identification Algorithm in Wireless Sensor Networks by Meenakshi Panda, P. M. Khilar

“…The accuracy and completeness of the algorithm are verified with the help of statistical model of the sensors data. The performance is evaluated in terms of detection accuracy, false alarm rate, detection latency and message complexity.…”
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spatial modeling of summer precipitation in North-west of Iran by hossein asakereh, robab razmi

“…An attempt, using geo-statistical modeling by ordinary least squares (OLS) and geographically weighted regression (GWR) procedures, was also made. …”
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Monitoring Model of Concrete Dam Deformation Based on Gray Wolf Optimization Algorithm by CHEN Shuyun, ZHOU Wenzhong, GU Yanchang, WANG Hong

“…Dam deformation is one of the most reliable indicators that can reflect the actual condition of concrete dam.Modeling and analysis of dam deformation monitoring data is an effective way to reflect the operation behavior of concrete dam and seek for the internal law of deformation.In addition,the mathematical model can be applied to predict the deformation.In order to improve the accuracy of modeling and deformation prediction,this paper proposes a deformation monitoring model of concrete dam based on gray wolf optimization algorithm,applies the model to the engineering examples and compares the results with that from the statistical model established by the conventional stepwise regression method and the BP-neural network.The results show that the monitoring model based on the gray wolf optimization algorithm has higher accuracy and better prediction effect.Therefore,the gray wolf algorithm is superior in establishing deformation model,which provides a new reference for deformation analysis and prediction of concrete dam.…”
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The study of a defect evolution in iron under fatigue loading in gigacyclic fatigue regime by O. Plekhov, O. Naimark, M. Narykova, A. Kadomtsev, V. Betechtin

“…The obtained results show the accumulation of porosity in the volume of the sample during fatigue loading and corresponding decrease of the elastic properties. A statistical model of damage accumulation was proposed in order to describe the damage accumulation process. …”
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RELIABILITY OPTIMUM DESIGN OF CONFIDENCE SAMPLES FOR CONSTANT-STRESS ACCELERATED LIFE TEST BASED ON WEIBULL DISTRIBUTION by FENG XueFeng, TANG JiaYin, TAN QiTao

“…In order to realize the rapid reliability evaluation of long-life and high reliability products at a normal stress level, the reliability statistical model of Arrhenius—Weibull was established, by using the Weibull distributions products with the consistent failure mechanism and a log-linear acceleration life test model between characteristic life and stress level. …”
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A Fast and Efficient Estimation of the Parameters of a Model of Accident Frequencies via an MM Algorithm by Issa Cherif Geraldo, Edoh Katchekpele, Tchilabalo Abozou Kpanzou

“…In this paper, we consider a multivariate statistical model of accident frequencies having a variable number of parameters and whose parameters are dependent and subject to box constraints and linear equality constraints. …”
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Energy-Driven Image Interpolation Using Gaussian Process Regression by Lingling Zi, Junping Du

“…In our algorithm, each interpolated pixel is predicted by a combination of two information sources: first is a statistical model adopted to mine underlying information, and second is an energy computation technique used to acquire information on pixel properties. …”
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Research on optimal channel access method for distributed wireless network based on reliable multicast communication by Yizhu WANG, Zhou ZHANG, Piming MA, Baoquan REN

“…To address the low spectrum utilization issue of the distributed network due to multi-user collision and channel time-varying nature, the distributed channel access problem for multicast communication was investigated.Based on the optimal stopping theory, a statistical model of distributed channel access under wireless multicasts was established, and an optimal distributed wireless channel access method under reliable multicast communication was proposed.Each source competes for the channel in a distributed manner, the winner source determines whether to access the shared channel by comparing the reliable multicast access rate with a pure threshold to complete the reliable multicast communication from the winner source to all the sinks.Theoretic optimality of the method was proved rigorously.A corresponding low-complexity algorithm was designed, which has a pure threshold structure and good engineering practicability.Numerical results show that the proposed channel access method can effectively improve the average throughput of the system.…”
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Ship Detection in High-Resolution Dual-Polarization SAR Amplitude Images by Gui Gao, Gongtao Shi, Shilin Zhou

“…Second, the PMA detector’s statistical model has been described by the well-known distribution when facing complex sea background. …”
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Comparative Study of Statistical Distributions in Electromigration-Induced Failures of Al/Cu Thin-Film Interconnects by M. I. Loupis, J. N. Avaritsiotis, G. D. Tziallas

“…We have combined post processing of existing life-data from Al/Cu + TiW bilayer interconnects with our own results from Al/Cu interconnects to show that the Log Extreme Value distribution is an equally good statistical model for electromigration failures, even in cases where grain size exceeds the linewidth. …”
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Learning Force-Relevant Skills from Human Demonstration by Xiao Gao, Jie Ling, Xiaohui Xiao, Miao Li

“…First, the force-relevant skill is encapsulated as a statistical model where the key parameters are learned from the demonstrated data (motion, force). …”
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Size Effect of Sandstone Particle Crushing Strength and Aggregate Shear Strength Based on Nominal Particle Size by QIU Zhenfeng, LEI Ruiyi, CHEN Renyuan, LIU Jinghong, FENG Yi, FANG Jun

“…Based on the Weibull statistical model, this paper establishes a formula for the size effects of particle strength. …”
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The Structure of an Automatic Decision System for a Large Number of Independent Particle Detectors by Andreea Rodica Sterian

“…Large detectors present also some problems regarding the large number of signals from independent photo multiplier tubes (PMTs). A realistic statistical model for numerical simulation of signal processing and sampling has been developed for the case of a large number of independent particle detectors (LNIPDs). …”
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