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kdensity command  (STATA Corporation)


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    STATA Corporation kdensity command
    Distribution of willingness to pay for in-situ soil nutrition surveillance technology. The nonparametric kernel density estimation was performed using the <t>kdensity</t> 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 ).
    Kdensity Command, supplied by STATA Corporation, 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/kdensity/kdensity+command/pmc11422606-291-9-12
    Average 90 stars, based on 1 article reviews
    kdensity command - by Bioz Stars, 2026-10
    90/100 stars

    Images

    1) Product Images from "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"

    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

    Journal: Heliyon

    doi: 10.1016/j.heliyon.2024.e37568

    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 ).
    Figure Legend 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 ).

    Techniques Used: In Situ

    Related Articles

    other:

    Article Title: Bones of Contention: The Political Economy of Height Inequality
    Article Snippet: 28 Using Stata’s procedure kdensity, we were able to estimate kernel densities directly for Zunis and Maya because we have individual data.

    Article Title: Where Does the Fairtrade Money Go? How Much Consumers Pay Extra for Fairtrade Coffee and How This Value Is Split along the Value Chain
    Article Snippet: 15 Electronic copy available at: https://ssrn.com/abstract=3324131 Kernel density using Stata’s kdensity, bandwith=0.45; pairwise Kolmogorov-Smirnov test for equality of distribution functions finds that all four distributions are significantly different from each other with p < 0.001.

    Generated:

    Article Title: Psychiatrist and Nonpsychiatrist Physician Network Breadth in Dual Eligible Special Needs Plans.
    Article Snippet: Methods: MA plan provider network data were merged with plan service areas and a nationwide provider database to form a data set with 843 observations on networks subclassified by state and network type (D-SNP or other MA) covering 42 U.S. states andWashington, D.C. Network breadth measured the in-network fraction of clinically active Medicare-accepting psychiatrists and other physician providers in the plans’ service areas in each state.. Regression analyses were used to compare psychiatrist and nonpsychiatrist network breadth and psychiatristnonpsychiatrist breadth differences between D-SNPs and other MA plans, after adjustment for state-level differences.. Results: Mean psychiatrist network breadth was 0.319 in D-SNPs and 0.299 in other MA plans, and nonpsychiatrist network breadth was 0.346 in D-SNPs and 0.358 in other MA plans.



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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

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    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: