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kdensity function  (MathWorks Inc)


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    MathWorks Inc kdensity function
    Boxplot and distribution of the lipreading scores: Visual only in noise and closed-set format. The mean and the median are represented by a red cross and a red line, respectively. The outliers are represented by smaller red crosses. The boxplot is smoothed with the Matlab <t>Kdensity</t> function that returns a probability density estimate.
    Kdensity Function, 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/result/kdensity function/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    kdensity function - by Bioz Stars, 2026-04
    90/100 stars

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    1) Product Images from "A standardised test to evaluate audio-visual speech intelligibility in French"

    Article Title: A standardised test to evaluate audio-visual speech intelligibility in French

    Journal: Heliyon

    doi: 10.1016/j.heliyon.2024.e24750

    Boxplot and distribution of the lipreading scores: Visual only in noise and closed-set format. The mean and the median are represented by a red cross and a red line, respectively. The outliers are represented by smaller red crosses. The boxplot is smoothed with the Matlab Kdensity function that returns a probability density estimate.
    Figure Legend Snippet: Boxplot and distribution of the lipreading scores: Visual only in noise and closed-set format. The mean and the median are represented by a red cross and a red line, respectively. The outliers are represented by smaller red crosses. The boxplot is smoothed with the Matlab Kdensity function that returns a probability density estimate.

    Techniques Used:



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    Image Search Results


    Distribution of willingness to pay for in-situ soil nutrition surveillance technology. The nonparametric kernel density estimation was performed using the kdensity command in Stata. The distribution is highly skewed to the right indicating a great need for an alternative soil testing method. yy = 1 means that the first and second responses to the first and the second bids were both “yes”; yn = 2 means that the first and second responses to the first and the second bids were “yes” and “no” respectively; and ny = 3 means that the first and second responses to the first and the second bids were “no” and “yes” respectively; and nn = 4 means that the first and second responses to the first and the second bids were both “no” (see ESI 2 ).

    Journal: Heliyon

    Article Title: Gendered farmer perceptions towards soil nutrition and willingness to pay for a cafetière-style filter system for in-situ soil testing: Evidence from Central Kenya

    doi: 10.1016/j.heliyon.2024.e37568

    Figure Lengend Snippet: Distribution of willingness to pay for in-situ soil nutrition surveillance technology. The nonparametric kernel density estimation was performed using the kdensity command in Stata. The distribution is highly skewed to the right indicating a great need for an alternative soil testing method. yy = 1 means that the first and second responses to the first and the second bids were both “yes”; yn = 2 means that the first and second responses to the first and the second bids were “yes” and “no” respectively; and ny = 3 means that the first and second responses to the first and the second bids were “no” and “yes” respectively; and nn = 4 means that the first and second responses to the first and the second bids were both “no” (see ESI 2 ).

    Article Snippet: The nonparametric kernel density estimation was performed using the kdensity command in Stata.

    Techniques: In Situ

    Boxplot and distribution of the lipreading scores: Visual only in noise and closed-set format. The mean and the median are represented by a red cross and a red line, respectively. The outliers are represented by smaller red crosses. The boxplot is smoothed with the Matlab Kdensity function that returns a probability density estimate.

    Journal: Heliyon

    Article Title: A standardised test to evaluate audio-visual speech intelligibility in French

    doi: 10.1016/j.heliyon.2024.e24750

    Figure Lengend Snippet: Boxplot and distribution of the lipreading scores: Visual only in noise and closed-set format. The mean and the median are represented by a red cross and a red line, respectively. The outliers are represented by smaller red crosses. The boxplot is smoothed with the Matlab Kdensity function that returns a probability density estimate.

    Article Snippet: The boxplot is smoothed with the Matlab Kdensity function that returns a probability density estimate.

    Techniques: