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    Statistical Analysis of the Labor Force of the Arkhangelsk Oblast by Abdullaev Elvin Akhmed oglu

    Published 2024-12-01
    “…The methodological basis of the study is general scientific statistical methods of data analysis: absolute and relative statistical indicators, series of dynamics, correlation and regression analysis. …”
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    Article
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    STATISTICAL ANALYSIS OF ACCELEROGRAMS OF REAL STRONG EARTHQUAKES by Khayrulla M. Muselemov, Osman M. Ustarhanov, Abusupyan K. Yusupov

    Published 2018-03-01
    “…Abstract. Objectives The statistical analysis of real accelerograms is considered. …”
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    To be(t) or not to be(t): A Bayesian approach to statistical data analysis by Pisano Silvia

    Published 2025-01-01
    “…Statistics aims at disciplining the process of answering to the latter question. …”
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    Method of Calculation of Integrated Performance Indicators of Defense Industry Organizations by S. E. Eroshin

    Published 2021-12-01
    “…A method has been developed for processing data on the activities of enterprises and reducing them to the optimal set of observed indicators without losing awareness of the monitoring object; possibilities of using non-parametric methods of statistics for analysis of complex systems, in particular, holdings of defense industry, have been researched.Conclusion. …”
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  15. 175

    A Review of Traffic Flow Prediction Methods in Intelligent Transportation System Construction by Runpeng Liu, Seong-Yoon Shin

    Published 2025-04-01
    “…Although statistics-based methods have lower data requirements and machine learning methods have faster calculation speeds, this paper concludes that deep learning methods have the best overall effect after a comprehensive analysis of the principles, advantages, limitations, and practical applications of each method. …”
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    PIPETS: a statistically informed, gene-annotation agnostic analysis method to study bacterial termination using 3′-end sequencing by Quinlan Furumo, Michelle M. Meyer

    Published 2024-11-01
    “…Results We present PIPETS, (Poisson Identification of PEaks from Term-Seq data), an R package available on Bioconductor that provides a novel analysis method for 3'-end sequencing data. PIPETS is a statistically informed, gene-annotation agnostic methodology. …”
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