General model: f(x) = a*x+b*sin(x)+c Coefficients (with 95% confidence bounds): a = 1.249 (0.9856, 1.512) %此处a,b,c为上述拟合函数的系数最优值 b = 0.6357 (0.03185, 1.24) %此处括号里显示的为置信区间。详见下文链接。 c = -0.8611 (-1.773, 0.05094) >>plot(f,x,y); 由于曲线拟...
The generalized linear modelmdlis a standard linear model unless you specify otherwise with theDistributionname-value pair. For methods such asplotResidualsordevianceTest, or properties of theGeneralizedLinearModelobject, seeGeneralizedLinearModel.
References [1] McFadden, Daniel. "Conditional logit analysis of qualitative choice behavior." inFrontiers in Econometrics, edited by P. Zarembka,105–42. New York: Academic Press, 1974. [2] Nagelkerke, N. J. D. "A Note on a General Definition of the Coefficient of Determination."Biometrika...
General model: f(t) = xm/(1+((xm/3.9)-1)*exp((-r)*(t-1790))) Coefficients (with 95% confidence bounds): r = 0.02735 (0.0265, 0.0282) xm = 342.4 (311, 373.8) Goodness of fit: SSE: 1225 R-square: 0.9924 Adjusted R-square: 0.992 RMSE: 7.826 在这里,由于该函数不是线性函数,...
% fitscrpt: the script that is run when a model is fitted% fixmeup: fixes up variable name inputs into glmlab% glmfit: the general routine for fitting glms% interact: coordiniates the interactions terms in general cases% irls: iteratively reweighted least squares: does the calculating% lose...
The0at the end of each term represents the response variable. In general, a column vector of zeros in a terms matrix represents the position of the response variable. If you have the predictor and response variables in a matrix and column vector, then you must include0for the response varia...
在本例中选Custom Equations,点击“New”按钮,选择“General Equations”标签,输入函数类型y=a*x*x + b*x,设置参数a、b的上下限,然后点击OK。 (5)类型设置完成后,点击“Apply”按钮,就可以在Results框中得到拟合结果,如下例: general model: f(x) = a*x*x+b*x ...
To create a linear model that fits curves and surfaces to your data, seeCurve Fitting Toolbox. To create linear models of dynamic systems from measured input-output data, seeSystem Identification Toolbox. To create a linear model for control system design from a nonlinear Simulink model, seeSim...
——如果选Custom Equations,点击“New”按钮,弹出自定义函数等式窗口,有“Linear Equations线性等式”和“General Equations构造等式”两种标签。 在本例中选Custom Equations,点击“New”按钮,选择“General Equations”标签,输入函 数类型y=axx + bx,设置参数a、b的上下限,然后点击OK。
General model: cfun(t) = a*cos(k*t)*exp(w*t) Coefficients (with 95% confidence bounds): a = 0.9987 (0.9836, 1.014) k = -1.001 (-1.006, -0.9958) w = -0.2066 (-0.2131, -0.2002) 注释:fittype是自定义拟合函数,cfun=fit(x,y,f)拟合数据x、y,x、y必须为列向量。