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Tom Lane

Last seen: etwa ein Monat vor Aktiv seit 2011

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Beantwortet
normalization issue pdf gmm matlab
You have a substantial amount of missing (NaN) data. I believe the histogram function produces a density that integrates to the ...

etwa 2 Jahre vor | 1

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Beantwortet
How to fit a multi modal distribution using a weighted sum of PDFs?
I'm glad Bjorn provided an answer that works for you. For future reference, there is a function for fitting mixtures of normal d...

mehr als 3 Jahre vor | 1

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Nonlinear fit to multiple data sets with shared parameters
@Tai-Yen Chen, if you concatenate, then the sharing is built in. You don't have to account for different subsets of the data fol...

mehr als 3 Jahre vor | 0

Beantwortet
Warning: Maximum likelihood estimation did not converge. Function evaluation limit exceeded.
Since the random numbers vary, it makes sense that the number of iterations will also vary so the number of warnings may change....

etwa 4 Jahre vor | 1

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Beantwortet
Nonlinear fit to multiple data sets with shared parameters
My posted answer from 11-Dec-2012 shows how to deal with multiple datasets following roughly the same functional form with param...

etwa 4 Jahre vor | 0

Beantwortet
Nonlinear fit to multiple data sets with shared parameters
My posted answer from 11-Dec-2012 shows how to deal with multiple datasets that are roughly similar. That isn't necessary, thoug...

etwa 4 Jahre vor | 0

Beantwortet
Curve fitting: seversl curves to one
If you want nhh = a * (n1^b) * (n2^c) * (n3^d) consider taking logs log(nhh) = log(a) + b*log(n1) + c*log(n2) + d...

etwa 4 Jahre vor | 0

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Do I purchase Statistics and Machine Learning Toolbox separately from MATLAB license?
There may be other options. If the GUI author can work with you, you may be able to replace use of tdfread by a newer core MATLA...

mehr als 5 Jahre vor | 0

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Understanding the Stepwiselm PRemove
Daria, thanks for providing the data, allowing me to reproduce your results. It looks like the documentation is confusing or ...

fast 6 Jahre vor | 0

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Beantwortet
How to obtain Std of Coefficients from Curve Fitting
You can get more information when you invoke the fit command: [obj,gof,opt] = fit(...) This gives the fitted obj, goodne...

etwa 6 Jahre vor | 2

Beantwortet
Nonlinear Regression with Errors in X and Y
If you just had y and one or more x variables as predictors, there is information about an errors-in-variables fit here: <htt...

mehr als 6 Jahre vor | 0

Beantwortet
Kernel Density estimation with chosen bandwidth, then normalize the density function (cdf) so that integral of cdf from min to max equal to 1 ; then take the first and second derivative of the cdf
You seem to want to do a number of things including integrating and specifying a bandwidth. Maybe this will get you started. ...

mehr als 6 Jahre vor | 0

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Unable to Generate Code out of Machine Learning Model
Your screen shot shows generating MATLAB code from the app. That code does training. I think you want to export a compact model ...

mehr als 6 Jahre vor | 0

Beantwortet
How to perform stratified 10 fold cross validation for classification in MATLAB?
If you have the Statistics and Machine Learning Toolbox, consider the |cvpartition| function. It can define stratified samples.

fast 7 Jahre vor | 1

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Beantwortet
Conflicting results with multcompare when using the Kruskal-Wallis test on multiple groups
It's sad but true that there can be an overall difference according to one test, another test might not declare specific differe...

mehr als 7 Jahre vor | 0

Beantwortet
Log likelihood for each distributions.
It's not clear to me what fails to match with what. These match: >> x = -5*log(rand(100,1)); >> pd = fitdist(x,'weibull'...

mehr als 7 Jahre vor | 1

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Beantwortet
bayesian logistic regression - slicesample - finding Machine learning parameters
It looks like you have the right idea. But I suspect the calculations are underflowing. You're multiplying thousands of probabil...

fast 8 Jahre vor | 1

Beantwortet
how to identify a fitglm output as being rank deficient from the resulting object
If your model is f, you could see if f.NumCoefficients > f.NumEstimatedCoefficients

fast 8 Jahre vor | 0

Beantwortet
How to calculate the correlation coefficient between an array and a matrix?
If you have the Statistics and Machine Learning Toolbox, it sounds like you want this: >> x = randn(20,3); >> y = x*[1 0...

fast 8 Jahre vor | 0

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Beantwortet
Unable to access Stats toolbox functions
The toolbox has functions anova1, anova2, anovan, and rmanova among others. It does not have functions anova or ranova. Howev...

fast 8 Jahre vor | 1

Beantwortet
plotSlice - what are the numbers below the plots?
The prediction shown at the left of the plot is the value given by the model when the predictors are set to the numbers shown be...

fast 8 Jahre vor | 3

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Beantwortet
Does stepwisefit function is able to evaluate using adjusted R-squared instead p-value?
There is a newer function that can do that: load hald stepwiselm(ingredients,heat,'Criterion','adjrsquared')

mehr als 8 Jahre vor | 1

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Beantwortet
Why is fitlm (or regess) and estimation using mathematical equations giving different results?
The first two columns of coefficients have what appear to be exact zeros in row 13, corresponding to column 12 of X because of t...

mehr als 8 Jahre vor | 0

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What is the difference between the regress function and the fitlm function
Take a look at the 12th and 13th columns of X. It looks to me like the 12th may be constant or may differ by a constant from the...

mehr als 8 Jahre vor | 0

Beantwortet
Decision trees, only binary branches?
If you fit a classification tree to the famous Fisher iris data, you get this: >> load fisheriris >> f = fitctree(meas,s...

mehr als 8 Jahre vor | 0

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Beantwortet
How can I make DOE design?
Here are two ways to do it. First, specify that you have 5 factors a-e and you want a resolution 5 design. Resolution 5 means yo...

mehr als 8 Jahre vor | 1

Beantwortet
Separate Drawing of Gaussian Mixture Model
You did something like this: x = [randn(4000,1)/2; 5+2*randn(6000,1)]; f = fitgmdist(x,2); histogram(x,'Normalization...

mehr als 8 Jahre vor | 2

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Beantwortet
clustering, matlab, nominal data
For hierarchical clustering, consider using Hamming distance. Here's an example that isn't realistic but that illustrates what t...

mehr als 8 Jahre vor | 0

Beantwortet
Why confidence interval distributions overlap the distribution?
A couple of things. First, take out your truncate statements and run the code. You'll see that the "LB" cdf is substantially bel...

mehr als 8 Jahre vor | 0

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fitnlm w/ table using not all Variables
You can specify modelfun using variable names: load carsmall t = table(MPG,Weight,Origin) nlm = fitnlm(t,'MPG~b1+b2*W...

mehr als 8 Jahre vor | 0

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