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bhhh method for nonlinear regression
BHHH is a specific optimization algorithm. Under certain conditions, the BHHH algorithms is guaranteed to converge. I am not...

casi 15 años hace | 0

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Need Help in Monte Carlo and comparing operational sequence
Hi Hammad It's difficult to answer this without more information about your model. The easiest way to implement this would...

casi 15 años hace | 0

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Multi level regression analysis
Statistics Toolbox includes two different algorithms (nlmefit and nlmefitsa) for fitting nonlinear mixed effects model. nlmefit...

casi 15 años hace | 1

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Appending dataset of varying length
Hi Oleg This strikes me as more of a data representation issue than a question of MATLAB syntax. Your eventual solution will...

casi 15 años hace | 0

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Bioinformatics GO Ontology, leave-one-out cross validation
Here's a simple example that shows how to do leave one out cross validation using the cvpartition and crossval commands in Stati...

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Residuals from Regress
% Generate some random data X = linspace(1,100,100)'; Y = X + randn(100,1); % Use Curve Fitting Toolbox to genera...

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Nonlinear fit to multiple data sets with shared parameters
Hi Kenneth Coincidentially, I did a webinar a couple weeks back that uses lsqcurvefit to solve just this type of problem. You ...

casi 15 años hace | 0

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removing outliers
Automatically detecting outliers is tricky stuff. You normally need fairly precise information regarding your data as well as t...

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Fitting data from differential scanning calorimetry to the Lumry-Eryring equation
Much as I love Curve Fitting Toolbox, I think that this is a case where Optimization Tbx will suffice....

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Fitting data from differential scanning calorimetry to the Lumry-Eryring equation
Hi William I did a quick Internet search on "Lumry-Eyring". I found a lot of references to kinetic models. While the curves ...

casi 15 años hace | 0

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Ridge regression and MSE
Use the "scaled" option to restore the coefficient estimates to the scale of the original data. You can then use b to estimat...

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nonlinear regression
The quality of a nonlinear regression is often highly dependent on the starting conditions that you provide to the optimization ...

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Curve fitting to experimental sets of data
1. Start by using the Curve Fitting Tool to fit one of your data sets. 2. Select "Generate Code" from the file menu. This ...

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Fitting an exponential curve to data and comparing it to excel
Hi Alice I just ran this same example using MATLAB and Excel. In both cases, the coefficients from the nonlinear regression ag...

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Does MATLAB have a Birthday Problem?
Hi Derek Your question about the birthday problem is best viewed as a special case of a more general topic: How should measure...

alrededor de 15 años hace | 1

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Finding regression values for a fixed gradient line
Here's some simple code to calculate R^2 SStot = sum((Y - mean(Y)).*(Y - mean(Y))); resid = Y - YHat; resid_sqrd = resid.*r...

alrededor de 15 años hace | 0

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correlation coefficient for a non-linear fit
Hi Marina You might find the following blog posting of interest. (It shows some interesting ways to use Curve Fitting Toolbo...

alrededor de 15 años hace | 1

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Contour Plotting in Surface Fitting Tool
Here's some code that should help get you started. Most of this code is framing the problem. The section dealing with the cust...

alrededor de 15 años hace | 0

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3D plot from imported Excel data
Curve Fitting Toolbox supports command line functions and interactive tools for surface fitting. The toolbox assumes that sur...

alrededor de 15 años hace | 1