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cumulative distribution function plot  (SAS institute)


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    SAS institute cumulative distribution function plot
    Cumulative Distribution Function Plot, supplied by SAS institute, 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/cumulative+distribution+function+plot/cumulative+distribution+function+plot/pm27261204-80-12-20
    Average 90 stars, based on 1 article reviews
    cumulative distribution function plot - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: A Predictive Model to Estimate Cost Savings of a Novel Diagnostic Blood Panel for Diagnosis of Diarrhea-predominant Irritable Bowel Syndrome.
    Article Snippet: A cumulative distribution function plot summarized the differences between the strategies.28 The cumulative distribution function plot was prepared by using SAS version 9.2 (SAS Institute, Inc, Cary, North Carolina).



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    HLMVEC Ca 2+ pulse durations are sensitive to WSS magnitude and WSSGs in cells that pulse repeatedly. Plots represent the <t>cumulative</t> distribution functions (CDFs) for individual pulse durations (measured as FWHM) for P cells. The initial pulse (first pulse, FP) is shown in red, while all subsequent pulses (second, third, etc., SP) are shown in black. Dotted lines are fits to the Weibull distribution (see text). Pulse duration distributions are portrayed for Rings 1–6 (A–F), spatially uniform WSS (parallel plate chamber, G), and no flow (H). The scale (β) and shape (κ) parameters for fits to the Weibull distribution and the average pulse durations (FWHM; μ) are presented at the bottom of each graph. Experiments were performed in triplicate. Asterisks indicate statistically significant differences in CDFs as determined using the Kolmogorov–Smirnov test ( n.s. , not significant; *, p < 0.05; **, p < 10 –4 ; ***, p < 10 –7 ).
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    HLMVEC Ca 2+ pulse durations are sensitive to WSS magnitude and WSSGs in cells that pulse repeatedly. Plots represent the <t>cumulative</t> distribution functions (CDFs) for individual pulse durations (measured as FWHM) for P cells. The initial pulse (first pulse, FP) is shown in red, while all subsequent pulses (second, third, etc., SP) are shown in black. Dotted lines are fits to the Weibull distribution (see text). Pulse duration distributions are portrayed for Rings 1–6 (A–F), spatially uniform WSS (parallel plate chamber, G), and no flow (H). The scale (β) and shape (κ) parameters for fits to the Weibull distribution and the average pulse durations (FWHM; μ) are presented at the bottom of each graph. Experiments were performed in triplicate. Asterisks indicate statistically significant differences in CDFs as determined using the Kolmogorov–Smirnov test ( n.s. , not significant; *, p < 0.05; **, p < 10 –4 ; ***, p < 10 –7 ).
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    cumulative distribution function plots  (MathWorks Inc)
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    HLMVEC Ca 2+ pulse durations are sensitive to WSS magnitude and WSSGs in cells that pulse repeatedly. Plots represent the <t>cumulative</t> distribution functions (CDFs) for individual pulse durations (measured as FWHM) for P cells. The initial pulse (first pulse, FP) is shown in red, while all subsequent pulses (second, third, etc., SP) are shown in black. Dotted lines are fits to the Weibull distribution (see text). Pulse duration distributions are portrayed for Rings 1–6 (A–F), spatially uniform WSS (parallel plate chamber, G), and no flow (H). The scale (β) and shape (κ) parameters for fits to the Weibull distribution and the average pulse durations (FWHM; μ) are presented at the bottom of each graph. Experiments were performed in triplicate. Asterisks indicate statistically significant differences in CDFs as determined using the Kolmogorov–Smirnov test ( n.s. , not significant; *, p < 0.05; **, p < 10 –4 ; ***, p < 10 –7 ).
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    HLMVEC Ca 2+ pulse durations are sensitive to WSS magnitude and WSSGs in cells that pulse repeatedly. Plots represent the cumulative distribution functions (CDFs) for individual pulse durations (measured as FWHM) for P cells. The initial pulse (first pulse, FP) is shown in red, while all subsequent pulses (second, third, etc., SP) are shown in black. Dotted lines are fits to the Weibull distribution (see text). Pulse duration distributions are portrayed for Rings 1–6 (A–F), spatially uniform WSS (parallel plate chamber, G), and no flow (H). The scale (β) and shape (κ) parameters for fits to the Weibull distribution and the average pulse durations (FWHM; μ) are presented at the bottom of each graph. Experiments were performed in triplicate. Asterisks indicate statistically significant differences in CDFs as determined using the Kolmogorov–Smirnov test ( n.s. , not significant; *, p < 0.05; **, p < 10 –4 ; ***, p < 10 –7 ).

    Journal: Molecular Biology of the Cell

    Article Title: Lymphatic endothelial cell calcium pulses are sensitive to spatial gradients in wall shear stress

    doi: 10.1091/mbc.E18-10-0618

    Figure Lengend Snippet: HLMVEC Ca 2+ pulse durations are sensitive to WSS magnitude and WSSGs in cells that pulse repeatedly. Plots represent the cumulative distribution functions (CDFs) for individual pulse durations (measured as FWHM) for P cells. The initial pulse (first pulse, FP) is shown in red, while all subsequent pulses (second, third, etc., SP) are shown in black. Dotted lines are fits to the Weibull distribution (see text). Pulse duration distributions are portrayed for Rings 1–6 (A–F), spatially uniform WSS (parallel plate chamber, G), and no flow (H). The scale (β) and shape (κ) parameters for fits to the Weibull distribution and the average pulse durations (FWHM; μ) are presented at the bottom of each graph. Experiments were performed in triplicate. Asterisks indicate statistically significant differences in CDFs as determined using the Kolmogorov–Smirnov test ( n.s. , not significant; *, p < 0.05; **, p < 10 –4 ; ***, p < 10 –7 ).

    Article Snippet: Cumulative distribution function plots and modeling of the distributions of experimental data were performed using MATLAB.

    Techniques: