Showing 621 - 640 results of 18,937 for search '"Statistics"', query time: 0.08s Refine Results
  1. 621

    Insights on Climate-Driven Fluctuations of Cave 222Rn and CO2 Concentrations Using Statistical and Wavelet Analyses by Concepcion Pla, Angel Fernandez-Cortes, Soledad Cuezva, Juan Jose Galiana-Merino, Juan Carlos Cañaveras, Sergio Sanchez-Moral, David Benavente

    Published 2020-01-01
    “…For this purpose, we combined a set of mathematical methods that included a statistical and wavelet analysis of a 6-year time series in Rull Cave (Spain). …”
    Get full text
    Article
  2. 622

    Optimization of Acid Protease Production by Aspergillus niger I1 on Shrimp Peptone Using Statistical Experimental Design by Rayda Siala, Fakher Frikha, Samiha Mhamdi, Moncef Nasri, Alya Sellami Kamoun

    Published 2012-01-01
    “…Under the proposed optimized conditions, the experimental protease production (183.13 U mL−1) closely matched the yield predicted by the statistical model (172.57 U mL−1) with R2=0.914. Compared with the initial M1 medium on which protease production was 43.13 U mL−1, a successful and significant improvement by 4.25 folds was achieved in the optimized medium containing (g/L): hulled grain of wheat (HGW) 5.0; KH2PO4 1.0; NaCl 0.3; MgSO4(7H2O) 0.5; CaCl2 (7H2O) 0.4; ZnSO4 0.1; Na2HPO4 1.6; shrimp peptone (SP) 1.0. …”
    Get full text
    Article
  3. 623
  4. 624
  5. 625
  6. 626
  7. 627

    Statistical Inference of the Class of Nonparametric Tests for the Panel Count and Current Status Data from the Perspective of the Saddlepoint Approximation by Abd El-Raheem M. Abd El-Raheem, Mona Hosny, Ehab F. Abd-Elfattah

    Published 2023-01-01
    “…Many statisticians resort to using the asymptotic normal approximation method to carry out statistical inference for many statistical tests, especially nonparametric ones. …”
    Get full text
    Article
  8. 628
  9. 629
  10. 630
  11. 631

    Prediction of Al2O3 leaching recovery in the Bayer process using statistical multilinear regresion analysis by Đurić I., Đorđević P., Mihajlović I., Nikolić Đ., Živković Ž.

    Published 2010-01-01
    “…Mathematical model is defined using the stepwise MLRA method, with R2 = 0.764 and significant statistical reliability - VIF<2 and p<0.05, on the one-year statistical sample. …”
    Get full text
    Article
  12. 632
  13. 633

    The relationship between activities of daily living and speech impediments based on evidence from statistical and machine learning analyses by Liu Jun, Hongguo Li, Yu Mao, Lan Hu, Dan Wu

    Published 2025-02-01
    “…Machine learning algorithms validated the statistical findings, confirming the predictive accuracy of ADL for SI, with the area under the curve (AUC) scores of SVM-AUC = 0.648, DT-AUC = 0.931, and LR-AUC = 0.666. …”
    Get full text
    Article
  14. 634
  15. 635

    Trends in : a statistical review of publications from 2003 to 2018 focusing on the most-studied genes and document clusters by Ji-Hyeon Kim, Hee-Jo Nam, Hyun-Seok Park

    Published 2019-09-01
    “…Herein, we conduct a statistical analysis of the publications of Genomics & Informatics over the 16 years since its inception, with a particular focus on issues relating to article categories, word clouds, and the most-studied genes, drawing on recent reviews of the use of word frequencies in journal articles. …”
    Get full text
    Article
  16. 636

    Comparison of Statistical, Graphical, and Wavelet Transform Analyses for Rainfall Trends and Patterns in Badulu Oya Catchment, Sri Lanka by Ashika M. Ruwangika, Anushka Perera, Upaka Rathnayake

    Published 2020-01-01
    “…The results reveal that the nonparametric Mann–Kendall test is powerful to produce the statistically significant rainfall trends in qualitative and quantitative manner. …”
    Get full text
    Article
  17. 637
  18. 638
  19. 639

    A Group Feature Screening Procedure Based on Pearson Chi-Square Statistic for Biology Data with Categorical Response by Hanji He, Jianfeng He, Guangming Deng

    Published 2024-01-01
    “…This study proposes a group feature screening method that considers group correlations using adjusted Pearson’s cardinality statistic to address this issue. The method can be applied to both continuous and discrete covariates. …”
    Get full text
    Article
  20. 640