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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...

quasi 15 anni fa | 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...

quasi 15 anni fa | 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...

quasi 15 anni fa | 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...

quasi 15 anni fa | 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...

quasi 15 anni fa | 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...

quasi 15 anni fa | 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 ...

quasi 15 anni fa | 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...

quasi 15 anni fa | 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....

quasi 15 anni fa | 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 ...

quasi 15 anni fa | 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...

quasi 15 anni fa | 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 ...

quasi 15 anni fa | 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 ...

quasi 15 anni fa | 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...

quasi 15 anni fa | 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...

circa 15 anni fa | 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...

circa 15 anni fa | 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...

circa 15 anni fa | 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...

circa 15 anni fa | 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...

circa 15 anni fa | 1