Showing 1,321 - 1,340 results of 21,342 for search '(( ((significant factor) OR (significant gap)) decrease ) OR ( significant decrease decrease ))', query time: 0.68s Refine Results
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  15. 1335

    Absolute β convergence results. by Ke Liu (121889)

    Published 2025
    “…Instead, there was a significant β divergence, indicating that the gap between the Xi’an metropolitan agglomeration’s population agglomeration level and that of other metropolitan agglomerations is gradually widening. …”
  16. 1336

    Conditional β convergence results. by Ke Liu (121889)

    Published 2025
    “…Instead, there was a significant β divergence, indicating that the gap between the Xi’an metropolitan agglomeration’s population agglomeration level and that of other metropolitan agglomerations is gradually widening. …”
  17. 1337

    Markov transition probability matrix (k = 4). by Ke Liu (121889)

    Published 2025
    “…Instead, there was a significant β divergence, indicating that the gap between the Xi’an metropolitan agglomeration’s population agglomeration level and that of other metropolitan agglomerations is gradually widening. …”
  18. 1338

    Markov transition probability matrix (k = 4). by Ke Liu (121889)

    Published 2025
    “…Instead, there was a significant β divergence, indicating that the gap between the Xi’an metropolitan agglomeration’s population agglomeration level and that of other metropolitan agglomerations is gradually widening. …”
  19. 1339

    Regression results. by Ke Liu (121889)

    Published 2025
    “…Instead, there was a significant β divergence, indicating that the gap between the Xi’an metropolitan agglomeration’s population agglomeration level and that of other metropolitan agglomerations is gradually widening. …”
  20. 1340

    Testing set error. by Xiangjuan Liu (618000)

    Published 2025
    “…<div><p>This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. …”