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fitdist function and kernel density method  (MathWorks Inc)


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    MathWorks Inc fitdist function and kernel density method
    Fitdist Function And Kernel Density Method, 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/pm40425655-218-26-34
    Average 90 stars, based on 1 article reviews
    fitdist function and kernel density method - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Phantomless calibration of CT scans for hip fracture risk prediction in silico : Comparison with phantom-based calibration
    Article Snippet: For that purpose, Matlab (release R2022b, The Mathworks Inc) built-in function fitdist was used.

    Article Title: Thiol-Michael Addition Microparticles: Their Synthesis, Characterization, and Uptake by Macrophages.
    Article Snippet: Polymeric microparticles are promising biomaterial platforms for targeting macrophages in the treatment of disease.. This study investigates microparticles formed by a thiol-Michael addition step-growth polymerization reaction with tunable physiochemical properties and their uptake by macrophages.. The hexafunctional thiol monomer dipentaerythritol hexa-3-mercaptopropionate (DPHMP) and tetrafunctional acrylate monomer di(trimethylolpropane) tetraacrylate (DTPTA) were reacted in a stepwise dispersion polymerization, achieving tunable monodisperse particles over a size range (1−10 μm) relevant for targeting macrophages.

    Article Title: Differential gene expression in trabecular bone osteocytes is related to the local strain and strain gradient.
    Article Snippet: Probability density functions were fit to histograms of the intensity level of each gene in the pooled osteocytes from the loaded and unloaded bones using the fitdist() function and kernel density method in Matlab (Mathworks, Natick, MA).

    Article Title: Theta- and gamma-band oscillatory uncoupling in the macaque hippocampus
    Article Snippet: We then fitted a kernel probability distribution to the duration values using fitdist function in MATLAB.

    Article Title: A PINK1 input threshold arises from positive feedback in the PINK1/Parkin mitophagy decision circuit.
    Article Snippet: The gamma distribution was empirically fit to the observed distribution of PINK1 input scores observed in Figure 2A using MATLAB’s ‘‘fitdist’’ function.

    Article Title: Evidence from pupillometry, fMRI, and RNN modelling shows that gain neuromodulation mediates task-relevant perceptual switches
    Article Snippet: Solving for E i \begin{document}$E_{i}$\end{document} , we obtain E i = 1 β l n ( 1 z p i ) \begin{document}$$\displaystyle E_{i}=\frac{1}{\beta }ln\left (\frac{1}{zp_{i}}\right)$$\end{document} Instead of inferring the probability distribution from the energy of a state as is done in physics, we used the fitdist function in MATLAB with a Gaussian kernel ( P ( x ) = 1 4 n ∑ i = 1 n K ( x 4 ) , \begin{document}$P\left (x\right)=\frac{1}{4n}\sum _{i=1}^{n}K\left (\frac{x}{4}\right),$\end{document} where K ( u ) = 1 2 π e − 1 2 u 2 \begin{document}$K\left (u\right)=\frac{1}{2\sqrt{\pi }}e^{\frac{- 1}{2}u^{2}}$\end{document} ) to infer the probability of the state, and then solved for the energy.

    Generated:

    Article Title: Classical-quantum dual encoding for laser communications in space
    Article Snippet: .. The PDF curves are generated by fitting a kernel probability distribution to our discrete simulation data on channel loss using the fitdist function provided by MATLAB. indicates the fluctuation of channel loss) is generally minimal. ..

    Standard Deviation:

    Article Title: On the numerical assessment of bending- and torsion-induced stresses in idealised sawn timber beams
    Article Snippet: .. Such a PDF is fitted with Matlab’s fitdist function and given by the mean m = 0.0614 and standard deviation s = 0.0429 of the variables natural logarithm. ..



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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: