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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...

etwa 15 Jahre vor | 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...

etwa 15 Jahre vor | 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...

etwa 15 Jahre vor | 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...

etwa 15 Jahre vor | 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...

etwa 15 Jahre vor | 0

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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...

etwa 15 Jahre vor | 0

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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 ...

etwa 15 Jahre vor | 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...

etwa 15 Jahre vor | 4

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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....

mehr als 15 Jahre vor | 0

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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 ...

mehr als 15 Jahre vor | 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...

mehr als 15 Jahre vor | 0

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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 ...

mehr als 15 Jahre vor | 0

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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 ...

mehr als 15 Jahre vor | 1

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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...

mehr als 15 Jahre vor | 3

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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...

mehr als 15 Jahre vor | 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...

mehr als 15 Jahre vor | 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...

mehr als 15 Jahre vor | 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...

mehr als 15 Jahre vor | 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...

mehr als 15 Jahre vor | 1