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3d kernel density estimation (kde)  (MathWorks Inc)


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    MathWorks Inc 3d kernel density estimation (kde)
    <t>3D</t> <t>Kernel</t> <t>Density</t> <t>Estimation</t> of composite service capacity scores for 12 secondary public hospitals in Guangzhou (2019–2023).
    3d Kernel Density Estimation (Kde), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/kernel+density/pmc12198218-166-11-19
    Average 90 stars, based on 1 article reviews
    3d kernel density estimation (kde) - by Bioz Stars, 2026-09
    90/100 stars

    Images

    1) Product Images from "Evaluating and enhancing the service capacity of secondary public hospitals in urban China: a multi-method empirical analysis based on Guangzhou (2019–2023)"

    Article Title: Evaluating and enhancing the service capacity of secondary public hospitals in urban China: a multi-method empirical analysis based on Guangzhou (2019–2023)

    Journal: Frontiers in Health Services

    doi: 10.3389/frhs.2025.1621018

    3D Kernel Density Estimation of composite service capacity scores for 12 secondary public hospitals in Guangzhou (2019–2023).
    Figure Legend Snippet: 3D Kernel Density Estimation of composite service capacity scores for 12 secondary public hospitals in Guangzhou (2019–2023).

    Techniques Used:

    Related Articles

    other:

    Article Title: Evaluating and enhancing the service capacity of secondary public hospitals in urban China: a multi-method empirical analysis based on Guangzhou (2019–2023)
    Article Snippet: To analyze the dynamic evolution of service capacity across institutions, a 3D Kernel Density Estimation (KDE) was constructed using MATLAB, based on composite TOPSIS scores from 2019 to 2023.

    Article Title: Regional differences, dynamic evolution, and influencing factors of high-quality medical resources in China’s ethnic minority areas
    Article Snippet: We used MATLAB to draw a 3D kernel density map, and the least squares dummy variable coefficient (LSDVC) to identify key factors affecting the HQMR distribution.



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    3D Kernel Density Estimation of composite service capacity scores for 12 secondary public hospitals in Guangzhou (2019–2023).

    Journal: Frontiers in Health Services

    Article Title: Evaluating and enhancing the service capacity of secondary public hospitals in urban China: a multi-method empirical analysis based on Guangzhou (2019–2023)

    doi: 10.3389/frhs.2025.1621018

    Figure Lengend Snippet: 3D Kernel Density Estimation of composite service capacity scores for 12 secondary public hospitals in Guangzhou (2019–2023).

    Article Snippet: To analyze the dynamic evolution of service capacity across institutions, a 3D Kernel Density Estimation (KDE) was constructed using MATLAB, based on composite TOPSIS scores from 2019 to 2023.

    Techniques: