Different copula types and reliability applications for a new fisk probability model by Mohammad Abiad, Najwan Alsadat, Meraou M. A, M.M.Abd El-Raouf, Haitham M. Yousof, Anoop Kumar

“…The study presents some statistical modeling experiments on reliability data and some important comparisons are presented within the framework of some statistical comparison criteria.…”
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Predicting Time in Range Without Hypoglycaemia Using a Risk Calculator for Intermittently Scanned CGM in Type 1 Diabetes by Fernando Sebastian‐Valles, Jose Alfonso Arranz Martin, Julia Martínez‐Alfonso, Jessica Jiménez‐Díaz, Iñigo Hernando Alday, Victor Navas‐Moreno, Teresa Armenta Joya, Maria del Mar delFandiño García, Gisela Liz Román Gómez, Jon Garai Hierro, Luis Eduardo Lander Lobariñas, Carmen González‐Ávila, Purificación deMartinez de Icaya, Vicente Martínez‐Vizcaíno, Miguel Antonio Sampedro‐Nuñez, Mónica Marazuela

“…ABSTRACT Purpose To investigate the impact of clinical and socio‐economic factors on glycaemic control and construct statistical models to predict optimal glycaemic control (OGC) after implementing intermittently scanned continuous glucose monitoring (isCGM) systems. …”
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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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A Prediction Model Optimization Critiques through Centroid Clustering by Reducing the Sample Size, Integrating Statistical and Machine Learning Techniques for Wheat Productivity by Muhammad Islam, Farrukh Shehzad

“…This study demonstrated strong evidences for deploying MLM for prediction of wheat productivity as an alternative of traditional statistical modeling.…”
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Generalized product-sum variogram models of the data of the Center of Marine Research by Ingrida Krūminienė, Kęstutis Dučinskas

“…Therefore, it is essential to have statistical models to describe how the data vary across space and time. …”
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Text steganalysis using AdaBoost by SUI Xin-guang, SHEN Lei, YAN Ji-kun, ZHU Zhong-liang

“…The statistical models and features of natural texts was analyzed,and it was pointed out that embedding mes-sages in texts will change the features of them.According to the changes,a blind detecting method was designed using AdaBoost.Five basic parameters of texts was extracted as distinguished feature vectors to discriminate natural texts and stego-texts effectively using AdaBoost.Experimental results show the high accuracy and reliability of the method.…”
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Predicting Sentiments in Spotify Comments: A Comparative Analysis of Machine Learning Models by Filipe Augusto Felix de Queiroz, Igor Barbosa Negreiros, Giovana de Souza, Débora Cordeiro de Sousa, Sílvio Fernando Alves Xavier Júnior

“…We compare different statistical modeling and Machine Learning techniques, identifying the ones with the greatest accuracy in predicting sentiments. …”
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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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Testing the Reciprocal Effect between Value of Education, Time Investment, and Academic Achievement in a Large Non-Western Sample by Meimei Liu, TuongVan Vu, Nienke van Atteveldt, Martijn Meeter

“…We tested this reciprocity using different statistical models. Second, we investigated whether the relation between motivation and achievement was mediated by time invested in learning. …”
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Comparing Estimation Methods for the FPLD by Agostino Tarsitano

“…We use the quantile function to define statistical models. In particular, we present a five-parameter version of the generalized lambda distribution (FPLD). …”
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Design of experiments at bench tests of fuel supplying apparatus by E. V. Shendaleva, Kh. I. Khalimov

“…The experiment design use for combustion unit statistical model creation and uncertainty finding of fuel consumption measurement is offered…”
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Statistical analysis of the development of serfdom farms in the Vilnius and Dysna districts in the middle of the 19th century by Stasys Pamerneckis

“… This article is written with the application of correlation-regression and factorial statistical models for researching corvee-peasant farms. …”
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Optimizing Carbonation Hardening for Lightweight Concrete by Olexander Gara, Anatoliy Gara, Andrii Kolesnykov, Khrystyna Moskalova

“…It evaluates the effects of binder content, ground limestone, lightweight aggregates, plasticizers, carbonation pressure, and duration on compressive strength at 1 hour, 28 days, and 180 days. Statistical models and optimization using desirability functions were employed to identify optimal recipe and technological parameters. …”
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Comparison of JPL and ESP Solar Proton Fluence Models Using the Background‐Subtracted RDSv2.0 Data Set by B. X. Zhu, K. Whitman, I. Jun, J. M. Ratliff

“…Several statistical models have been developed, including the JPL model and the Emission of Solar Protons (ESP) model. …”
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Modeling the gameplay actions of elite volleyball players and teams based on statistical match reports by Sergii Iermakov, Tetiana Yermakova, Krzysztof Prusik

“…In modern sports analysis statistical modeling of gameplay actions based on match data is becoming a key tool for optimizing training processes and tactical preparation. …”
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Landslide Susceptibility Zonation Mapping Using Machine Learning Algorithms and Statistical Prediction at Hunza Watershed Basin, Pakistan by A. Khan, G. Khan, M. Minhas, S. A. Hussain Gardezi, J. Ahmed and N. Abbas

“…Landslide susceptibility mapping was carried out using two deep machine learning techniques (DeeplabV3+ & universal network U-Net) and two statistical models (Intuitionistic Fuzzy divergence IF-D & Frequency ratio FR). …”
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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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The Application of FT-IR Spectroscopy for Quality Control of Flours Obtained from Polish Producers by Katarzyna Sujka, Piotr Koczoń, Alicja Ceglińska, Magdalena Reder, Hanna Ciemniewska-Żytkiewicz

“…This correlation resulted in calibrated and validated statistical models for versatile evaluation of unknown flour samples. …”
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On the Existence of Strongly Consistent Indirect Estimators When the Binding Function Is Compact Valued by Stelios Arvanitis

“…These are generalizations of the analogous results in the relevant literature and hence permit a broader scope of statistical models. We examine simple examples involving Levy and ergodic conditionally heteroskedastic processes.…”
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