Étude statistique sur corpus de l’alternance que / Ø en français parlé : quel est l’effet de la proximité communicationnelle ? by Auphélie Ferreira, Yanis da Cunha

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Statistical methods in grape and wine research for quantifying the impact of climate change by German Puga, Kym Anderson

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Overcoming Missing Data: Accurately Predicting Cardiovascular Risk in Type 2 Diabetes, A Systematic Review by Wenhui Ren, Keyu Fan, Zheng Liu, Yanqiu Wu, Haiyan An, Huixin Liu

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Genotype–environment interactions and inheritance of quantitative traits in a hybrid combination between seeded and seedless grapevine cultivars (Vitis vinifera L.) by V. Roychev

Subjects: “…statistical models…”
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On predictive modeling of the twitter-based sales data using a new probabilistic model and machine learning methods by Min Wan, Mohammed A. Alshahrani, Najla M. Aloraini, Alia A. Alkhathami, Haifa Alqahtani

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Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models by Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta, Leja Hamza Juhar

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A new probabilistic model with simulation study: Its practical implementations using the energy consumption in urban planning by Jiayi Zhang, Shensheng Chen, Tmader Alballa, Laila A. AL-Essa, Haifa Alqahtani, Hamiden Abd El-Wahed Khalifa

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Statistical Analysis of the People Fully Vaccinated against COVID-19 in Two Different Regions by Abdullah Ali H. Ahmadini, Mohammed Elgarhy, A. W. Shawki, Hanan Baaqeel, Omar Bazighifan

“…Some of the suggested statistical model features were proposed. Furthermore, the estimate of the model parameters was driven using the maximum likelihood estimation method. …”
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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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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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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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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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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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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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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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