Showing 1 - 20 results of 59 for search '(( significantly ((linear decrease) OR (mean decrease)) ) OR ( significantly estimated decrease ))~', query time: 0.59s Refine Results
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    Fluctuation trend of the mean temperature index. by Chengyuan Hao (21615653)

    Published 2025
    “…Based on daily maximum, minimum and mean temperatures from seven meteorological stations for the period 1961<b>–</b>2021, the comprehensive indications of temperature changes were analyzed using the linear tendency estimation, Mann-Kendall test, and levels fluctuation. …”
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    Variation curve of the mean temperature index. by Chengyuan Hao (21615653)

    Published 2025
    “…Based on daily maximum, minimum and mean temperatures from seven meteorological stations for the period 1961<b>–</b>2021, the comprehensive indications of temperature changes were analyzed using the linear tendency estimation, Mann-Kendall test, and levels fluctuation. …”
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    Mann-Kendall test for the mean temperature index. by Chengyuan Hao (21615653)

    Published 2025
    “…Based on daily maximum, minimum and mean temperatures from seven meteorological stations for the period 1961<b>–</b>2021, the comprehensive indications of temperature changes were analyzed using the linear tendency estimation, Mann-Kendall test, and levels fluctuation. …”
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    The Date. by Chengyuan Hao (21615653)

    Published 2025
    “…Based on daily maximum, minimum and mean temperatures from seven meteorological stations for the period 1961<b>–</b>2021, the comprehensive indications of temperature changes were analyzed using the linear tendency estimation, Mann-Kendall test, and levels fluctuation. …”
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    Variation curve of the extreme temperature index. by Chengyuan Hao (21615653)

    Published 2025
    “…Based on daily maximum, minimum and mean temperatures from seven meteorological stations for the period 1961<b>–</b>2021, the comprehensive indications of temperature changes were analyzed using the linear tendency estimation, Mann-Kendall test, and levels fluctuation. …”
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    Univariate analyses. by Zachary E. M. Giovannini-Green (22008277)

    Published 2025
    “…Independent variables in the analyses were: 1) age, 2) sex, 3) geographic region, 4) urban or rural residence, and 5) ED visit before or during COVID-19. Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. …”
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    Overview of individuals in the study. by Zachary E. M. Giovannini-Green (22008277)

    Published 2025
    “…Independent variables in the analyses were: 1) age, 2) sex, 3) geographic region, 4) urban or rural residence, and 5) ED visit before or during COVID-19. Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. …”
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    Multivariate analyses. by Zachary E. M. Giovannini-Green (22008277)

    Published 2025
    “…Independent variables in the analyses were: 1) age, 2) sex, 3) geographic region, 4) urban or rural residence, and 5) ED visit before or during COVID-19. Multiple linear regression with Generalized Estimating Equations (GEE) modelling was used to identify factors associated with mean monthly ED visits. …”
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    Behaviour and significance of reservoir evaporation and seepage losses – an experience of four reservoirs in Damodar River Valley, India by Dipankar Chaudhuri (498103)

    Published 2025
    “…Annual seepage loss and its mean rate increased gradually for a considerable period during initial operation stage; later, both decreased and stabilized. …”