Aggregating multiple test results to improve medical decision-making. by Lucas Böttcher, Maria R D'Orsogna, Tom Chou

“…In this work, we develop a statistical model to study how medical decision-making can be improved by aggregating results from repeated diagnostic and screening tests. …”
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Design and Optimization of a Process for Sugarcane Molasses Fermentation by Saccharomyces cerevisiae Using Response Surface Methodology by Nour Sh. El-Gendy, Hekmat R. Madian, Salem S. Abu Amr

“…A statistical model was developed in this study to describe bioethanol production through a batch fermentation process of sugarcane molasses by locally isolated Saccharomyces cerevisiae Y-39. …”
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Modeling and Implementation of a Power Estimation Methodology for SystemC by Matthias Kuehnle, Andre Wagner, Alisson V. Brito, Juergen Becker

“…The power analysis is based on a statistical model of the underlying HW structure and an analysis of input data. …”
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Denoising of Mechanical Vibration Signals Using Quantum-Inspired Adaptive Wavelet Shrinkage by Yan-long Chen, Pei-lin Zhang, Bing Li, Ding-hai Wu

“…This quantum-inspired shrinkage algorithm combines three elements: an adaptive non-Gaussian statistical model of dual-tree complex wavelet transform (DTCWT) coefficients proposed to improve practicability of prior information, the quantum superposition introduced to describe the interscale dependencies of DTCWT coefficients, and the quantum-inspired probability of noise defined to shrink wavelet coefficients in a Bayesian framework. …”
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Indoor Massive MIMO Channel Modelling Using Ray-Launching Simulation by Jialai Weng, Xiaoming Tu, Zhihua Lai, Sana Salous, Jie Zhang

“…We propose one deterministic model and one statistical model for indoor massive MIMO channels, both based on ray-launching simulation. …”
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Link Layer Time-Varying Model for IEEE 802.15.4 Radio in Industrial Environment by Wan Yadong, Duan Shihong

“…The paper proposed a link layer statistical model (LTM) for time-varying of 16 channels based on packet drop rate (PDR) data collected from typical industrial environments. …”
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Quality of Life: A Longitudinal Analysis of Correlates of Morale in Old Age by Said Shahtahmasebi

“…This paper examines recurrent continuous morale in old age within a statistical modelling paradigm. The Anglicised Philadelphia Geriatric Centre Morale Scale was used as a small component of a major longitudinal study of old age in rural North Wales, U.K. …”
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Framework Using Multicriteria Analysis for Evaluating the Risk of Musculoskeletal Disorders by Karolis Senvaitis, Aušra Adomavičienė, Kristina Daunoravičienė

“…This is a continuation of previous research focusing on a novel multicriteria statistical model integrating experimental and large-scale statistical datasets. …”
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A Framework of Vertebra Segmentation Using the Active Shape Model-Based Approach by Mohammed Benjelloun, Saïd Mahmoudi, Fabian Lecron

“…The main advantage of this approach is the application of a statistical model created after a training stage. Thus, the knowledge and interaction of the domain expert intervene in this approach. …”
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Adaptive Maximums of Random Variables for Network Simulations by Rong Nan Chiou, Chia-Nian Shyi

“…In this paper, a statistical model is first suggested to manifest the bound of statistical errors. …”
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The determinants of consumption poverty in Fitche Town of Oromia Regional State, Ethiopia by Getachew M. Kumssa

“…Likewise, 372 sampled households were selected out of the 5300 total households of the selected kebeles through a stratified simple random sampling technique. Using the statistical model developed by Foster, Greer and Thorbecke, results of the study reveals that 22.4 percent of sample households fall below the poverty line. …”
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Education as a key determinant of health: A case study from rural Anhui, China by Adam Mursal, Weizhen Dong

“…Predictor variables included in the statistical model were major social determinants of health (education, income, sex, age, occupation, as well as health behaviours related to smoking, drinking, and exercise).  …”
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SDP-Based Quality Adaptation and Performance Prediction in Adaptive Streaming of VBR Videos by Thoa Nguyen, Thang Vu, Nam Pham Ngoc, Truong Cong Thang

“…Our solution is based on a new statistical model where the future streaming performance is directly related to the past bandwidth statistics. …”
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A Dynamic Intrusion Detection System Based on Multivariate Hotelling’s T2 Statistics Approach for Network Environments by Aneetha Avalappampatty Sivasamy, Bose Sundan

“…Components such as preprocessing, multivariate statistical analysis, and attack detection have been incorporated in developing the multivariate Hotelling’s T2 statistical model and necessary profiles have been generated based on the T-square distance metrics. …”
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Coupling Sensing Hardware with Data Interrogation Software for Structural Health Monitoring by Charles R. Farrar, David W. Allen, Gyuhae Park, Steven Ball, Michael P. Masquelier

“…In this paradigm, the process can be broken down into four parts: (1) Operational Evaluation, (2) Data Acquisition and Cleansing, (3) Feature Extraction and Data Compression, and (4) Statistical Model Development for Feature Discrimination. …”
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Excited cluster states: A new source for proton number fluctuations in the high baryon density regime by Boris Tomášik, Marcus Bleicher

“…We calculate the contribution of the decay products of excited nuclear cluster states to the event-by-event fluctuations of protons in the energy range from sNN=2−5 GeV within the statistical model. We find that the inclusion of the excited nuclear clusters yields corrections to all cumulant ratios, ranging from 1% for ratio of second to first-order cumulant to 100% for the sixth to second order cumulant towards the lowest inspected energy. …”
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Modeling the effect of extrusion parameters on density of biomass pellet using artificial neural network by Abedin Zafari, Mohammad Hossein Kianmehr, Rahman Abdolahzadeh

“…The ANN model was found to have higher predictive capability than the statistical model.…”
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Capacity Estimation of the Very Short-Range Electromagnetic Underwater Channel Based on Measurements by Jesús López-Fernández, Unai Fernández-Plazaola, Jose F. Paris

“…Because of water movement, the nonstatic position of the vehicle when the transmission occurs means that the channel is regarded as randomly time-variant. A statistical model is proposed and the ergodic capacity is calculated for a 7 MHz bandwidth channel at distances ranging from 0.5 m to 5 m as well as for different values of transmitter power. …”
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Numbers of environmental injustice: The measurement of impunity in Mexico by Juan Antonio Le Clercq, Celeste Cedillo

“…We focus on the importance of measuring degrees of environmental impunity to operationalize environmental justice problems; we discuss the scope of the concept of environmental impunity; we explain the methodological design of its four dimensions, its forty-two indicators, and the statistical model of the Index; and we analyze its aggregate results. …”
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Uncertainty Quantification for a Hydraulic Fracture Geometry: Application to Woodford Shale Data by Batoul M. Gisler

“…The good agreement between the statistical model and field observations shows that the probability density curve can provide a reliable insight into the optimal proppant size.…”
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