Analyzing the Strelitzia Juncea Cellulosic Fibers Mechanical Properties’ Experimental Data Using Various Statistical Methods by Soumia Teyar, Hassina Gheribi, Messaouda Boumaaza, Ahmed Belaadi, Boon Xian Chai, Mahmood M.S. Abdullah, Ibrahim M.H. Alshaikh, Amar Al-Khawlani, Djamel Ghernaout

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Statistical Methods for Annotation Analysis by Rodrigo Wilkens

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Mechanical properties and statistical analysis of the Charpy impact test using the Weibull distribution in jute-polyester and glass-polyester composites by Tioua Tahar, Djamel Djeghader, Bachir Redjel

“…The experimental results were statistically analyzed by using the Weibull theory to better understand the impact behavior of the composites. …”
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The Mechanical properties and statistical analysis of the Charpy impact test using the Weibull distribution in jute-polyester and glass-polyester composites by Tahar Tioua, Djamel Djeghader, Bachir Redjel

“…The experimental results were statistically analyzed by using the Weibull theory to better understand the impact behavior of the composites. …”
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Methodological aspects of statistical analysis in ophthalmology by A. S. Sorokin, S. Yu. Petrov, N. V. Zvezdina, M. A. Golovanova

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On analysis of phthalocyanine network through statistical method by Hadeel AlQadi, Muhammad Farhan Hanif, Mazhar Hussain, Muhammad Kamran Siddiqui, Faryal Chaudhry, Mohamed Abubakar Fiidow

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STATISTICAL STUDY OF SUPPLY OF THE GRADUATES WITH THE ECONOMIC PROFILE by S. Gelashvili, K. Marshava, N. Abesadze, M. Mindorashvili

“…Inquiring the university graduates is topical to assess the teaching quality in order to consider their opinion in the future what at the same time, can be used as a tool to reassess the gained results. The study used the methods of statistical survey, grouping and analysis (mean-value, variation, time series and other methods). …”
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Common statistical methods used in medical research by Hye Jin Yang, Hye Sun Lee

“…Statistical analysis is crucial for ensuring the reliability of research results; therefore, methods should be carefully tailored to research interests and objectives, depending on the type and characteristics of the data. …”
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Analyzing Current Approaches to Assessing the Quality of Software Products by A. A. Drozhkin

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Analyzing the Relationship Between Meteorological Elements and Criteria Atmospheric Pollutants in Tabriz Using Statistical Modeling by Parisa Kahrari, Shahriar Khaledi, Ghasem Keikhosravi, Seyed Jalil Alavi

“…On the other hand, meteorological parameters directly affect the amount of pollutants as well as the duration of their presence in the atmosphere, and the present research was conducted in order to investigate this effect and discover the relationships between criteria air pollutants and atmospheric elements.Material and Methods: In addition to investigating the status of meteorological elements (temperature, precipitation, wind speed, relative humidity, radiation, sunshine hours and cloudiness) and air pollutants (carbon monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3) and particulate matters with aerodynamic diameters less than 10 microns and 2.5 microns (PM10 and PM2.5)) in Tabriz city during 2004-2021, the present study has explored the relationships between pollutants and meteorological parameters in monthly and seasonal time scales using Pearson's correlation test at the 95% confidence level and the effect of these elements on the concentration of pollutants using Multiple Linear Regression (MLR) and Generalized Additive Model (GAM) in R 4.3.1 statistical software.Results and Discussion: Based on the results of Pearson correlation analysis, NO2 and PM2.5, SO2 and PM2.5 pollutants and PM2.5 and PM10 pollutants have shown a significant positive correlation in pairs, so it seems that these pollutants have similar emission sources. …”
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APPLICATION OF DESCRIPTIVE STATISTICS METHODS IN CUSTOMS RISK ANALYSIS by O. E. Kudryavtsev, S. E. Tamrazyan

“…The descriptive statistical methods proposed can be implemented into practice of the customs authorities. …”
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Statistical data analysis methods in Brillouin spectroscopy: Tutorial by Christopher G. Poulton, Hadi Mahmodi, Matthew D. Arnold, Luke McAlary, Lezanne Ooi, Irina Kabakova

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Statistical Analysis Method for Optimal Prameters of Telemetry Communication by XIE Jun, WU Sailong, HAO Hang, ZHANG Songwei, WU Ruiqing, SUN Xiangyang

“…The paper proposes a statistical analysis-based optimization method for communication parameters of TLWD, utilizing massive measured data from downhole telemetry. …”
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The Use of Probabilistic and Statistical Methods to Analyze the Formation of the Generation Potential of Deeply Buried Sediments of Upper Pechora Basin by E. A. Kuznetsova, V. I. Galkin

“…In this paper, the problem is solved by applying probabilistic and statistical methods. The values of the total generation potential, the concentration of organic carbon, the rate of burial, the depth and the thickness of the layers were used for the analysis. …”
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Statistical processing of pharmacological experiments results measured in ordinal and quantitative scales, if it is impossible to analyze using parametric methods by I. B. Tsorin

“…The article discusses descriptive statistics of data measured in ordinal and quantitative scales, and criteria for determining the statistical significance of differences between samples when it is impossible to analyze using parametric methods. …”
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Application of applied statistical methods in the study of the labor market of IT-specialist by V. A. Livinskaya, M. A. Shaluchova

Subjects: “…analysis…”
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Statistic Model of Homodyne Acousto-Optic Spectrum Analyzer by L. A. Aronov, Yu. S. Dobrolensky, G. V. Kulak

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AN ALGORITHM FOR APPLYING STATISTICAL METHODS IN THE IDENTIFICATION OF SUBSPECIES AND HYBRIDS OF PANTHERA PARDUS by O. Chernova, T. T. Perfiova, A. Kiladze, P. Sorokin

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STATISTICAL METHODS OF ANALYSIS OF FINANCIAL INDICATORS NEEDED TO MODEL VALUATIONS by Ivan E. Akulin

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ANALYZING PRESENT AND FUTURE CONNECTIONS BETWEEN FARM MANAGEMENT AND PERFORMANCE: COMPARATIVE STUDY USING STATISTICAL METHODS AND SUPERVISED LEARNING by Victor-Dumitrel TIȚA, Daniel NIJLOVEANU, Doru Anastasiu POPESCU, Nicolae BOLD

“…The obtained results for the mentioned research showed that the methods based on supervised learning can be an important tool of analysis, being complementary with the traditional statistical methods regarding the analysis of the microeconomic agricultural environment and performance, providing supplementary key data regarding the economic indicators.…”
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