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nonlinear least-square regressions matlab r2014b  (MathWorks Inc)


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    MathWorks Inc nonlinear least-square regressions matlab r2014b
    Nonlinear Least Square Regressions Matlab R2014b, 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/nonlinear+least-square+regressions+matlab+r2014b/10__1029_slash_2019jc015552-128-32-34
    Average 90 stars, based on 1 article reviews
    nonlinear least-square regressions matlab r2014b - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Twenty‐Year Variations in Satellite‐Derived Chlorophyll‐a and Phytoplankton Size in the Bohai Sea and Yellow Sea
    Article Snippet: Phytoplankton cell size is a useful ecological indicator for evaluating the response of phytoplankton community structure to environmental changes.. Ocean-colour remote observations and algorithms have allowed us to estimate phytoplankton size classes (PSCs) at decadal scale, helping us to understand their trends under ocean warming.. Here, a large dataset of pigments, derived through high performance liquid chromatography (HPLC), was collected in the Bohai Sea (BS) and Yellow Sea (YS) between 2014 and 2016.

    Article Title: In Situ and Satellite Observations of Phytoplankton Size Classes in the Entire Continental Shelf Sea, China
    Article Snippet: 13 Eq. (14) and (15) using nonlinear least-square regressions (MATLAB R2014b, Curve Fitting Tool).

    Article Title: Twenty‐Year Variations in Satellite‐Derived Chlorophyll‐a and Phytoplankton Size in the Bohai Sea and Yellow Sea
    Article Snippet: We sorted the data set and conducted a 140‐point running fit of equations (5) and (6) using nonlinear least‐square regressions (MATLAB R2014b) as a function of SST.

    Article Title: Twenty‐Year Variations in Satellite‐Derived Chlorophyll‐a and Phytoplankton Size in the Bohai Sea and Yellow Sea
    Article Snippet: One hundred sets of SST and corresponding Cmn;p, C m p , Dn,p, and Dp were obtained, and their relationships could be represented by equations (7)–(10); thus, parameters were fitted using nonlinear least‐square regressions (MATLAB R2014b), as shown in Table 1.

    Article Title: Twenty‐Year Variations in Satellite‐Derived Chlorophyll‐a and Phytoplankton Size in the Bohai Sea and Yellow Sea
    Article Snippet: Further confirmation was found when the unknown model parameters (i.e., Cmn;p, C m p , Dn,p, and Dp) obtained by fitting equations (5) and (6) using nonlinear least‐square regressions (MATLAB R2014b) separately to lower SST waters (<22.45 °C, N = 140) and higher SST waters (>22.45 °C, N = 99).



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    MathWorks Inc nonlinear least-square regressions matlab r2014b
    Nonlinear Least Square Regressions Matlab R2014b, 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/nonlinear+least-square+regressions+matlab+r2014b/10__1029_slash_2019jc015552-128-32-34
    Average 90 stars, based on 1 article reviews
    nonlinear least-square regressions matlab r2014b - by Bioz Stars, 2026-09
    90/100 stars
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