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predictor variables  (MathWorks Inc)


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    MathWorks Inc predictor variables
    Predictor Variables, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2278 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/predictor+variable/Statistics+and+Machine+Learning+Toolbox/pmc11081136-98-20-45
    Average 96 stars, based on 2278 article reviews
    predictor variables - by Bioz Stars, 2026-09
    96/100 stars

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    Article Title: Double Two-State Opsin Model With Autonomous Parameter Inference
    Article Snippet: The models were solved by the MATLAB Variable Step Variable Order solver (VSVO) ode113-solver (order 1-13, Adams-Bashort-Moulton predictor-corrector pairs) (Shampine and Reichelt, ), with a maximum time step of 100 μs and default tolerances, i.e., relative and absolute tolerance equal to 10 −3 and 10 −6 , respectively.

    Article Title: Architecture for Trajectory-Based Fishing Ship Classification with AIS Data
    Article Snippet: The importance of each variable during classification was measured using the predictor importance calculated in MATLAB with the results of the decision tree classification, thereby obtaining an approximation of the variables that best divide each dataset.

    Article Title: Catching fly balls: a simulation study of the Chapman strategy.
    Article Snippet: Chapman [Chapman, S. (1968).. Catching a baseball.. American Journal of Physics, 36, 868–870] showed that a catcher may be guided to the landing spot of a fly ball by zeroing out its optical acceleration.

    Article Title: New asymptotic heat transfer model in thin liquid films
    Article Snippet: For the time discretization we use the variable order Adams–Bashforth–Moulton predictor-corrector solver, which is implemented in Matlab in ode113 routine [36].

    Article Title: Thalamic encoding of lexical status is lateralized during reading aloud
    Article Snippet: A series of stepwise linear regression models (MATLAB function stepwiselm , response variable: lexical selectivity index, predictor variables: MNI-defined x, y, z coordinates and their interactions, α=0.05) were then carried out to test out possible variable interactions, minimize multicollinearity, and determine the final location dependency model of band lexical selectivity.

    Article Title: Experimental analysis, modeling, and theoretical design of McMaster pore-filled nanofiltration membranes
    Article Snippet: A side-by-side comparison of the performance of McMaster pore-filled (MacPF) and commercial nanofiltration (NF) membranes is presented here.. The single-salt and multi-component performance of these membranes is studied using experimental data and using a mathematical model.. The pseudo two-dimensional model is based on the extended Nernst–Planck equation, a modified Poisson–Boltzmann equation, and hydrodynamic calculations.

    Article Title: BOLD temporal variability differentiates wakefulness from anesthesia-induced unconsciousness
    Article Snippet: Correction for respiratory rate on fMRI measurements was carried out by calculating the residual of the linear regression (using the regress.m function in MATLAB) where a group vector of each fMRI metric served as the response variable, and the group vector of mean respiratory rate served as the predictor variable.



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