New Post: Estimate mu and sigma
Thanks Christoph ! An other question : Is it possible to have a "public double InverseCumulativeDistribution(double p)" method in LogNormal class, just as it is in Normal class ? Thanks again, Vinny
View ArticleNew Post: InverseCumulativeDistribution method in LogNormal distribution
Hello, Is it possible to have a InverseCumulativeDistribution method in LogNormal distribution ? Thanks
View ArticleNew Post: InverseCumulativeDistribution method in LogNormal distribution
Hello again, In fact, I need to translate the Matlab function "logninv" in c#. ref: http://www.mathworks.fr/fr/help/stats/logninv.html?searchHighlight=logninv Thank you for helping me Vinny
View ArticleNew Post: InverseCumulativeDistribution method in LogNormal distribution
Hi, I've just added it to the V3 branch, see InvCDF. Thanks, Christoph
View ArticleNew Post: Percentile obsolete, how to use quantile?
I see that Percentile is obsolete, to be removed in 3.0. I have been attempting to use Quantile in 2.6.1.30 to get behavior similar to that of percentile for an array of tau values, adapting examples...
View ArticleNew Post: Percentile obsolete, how to use quantile?
Hi, 2) The result is wrong because the array was not sorted (which is expected by SortedArrayStatistics, other than ArrayStatistics). Once sorted, the result should be close, although not exactly the...
View ArticleNew Post: InverseCumulativeDistribution method in LogNormal distribution
Thanks Christoph. It seems good. I also need the InverseCumulativeDistribution function for the MathNet.Numerics.Distributions.StudentT and MathNet.Numerics.Distributions.ChiSquare classes. Do you...
View ArticleNew Post: InverseCumulativeDistribution method in LogNormal distribution
Not in a short time frame, as we're currently lacking inverse versions of some special functions required for these two, which would need to be implemented first. In the meantime it might be possible...
View ArticleNew Post: Multiple Linear Regression
Does anyone have a simple example of multiple linear regression? Something with two variables effecting a single outcome?
View ArticleNew Post: InverseCumulativeDistribution method in LogNormal distribution
OK Christoph, I'm waiting. Regards, Vinny
View ArticleNew Post: Percentile obsolete, how to use quantile?
Thank you very much, it worked exactly as desired. I will post sample code so that others can view it, as soon as I clean some things up. Dick
View ArticleNew Post: InverseCumulativeDistribution method in LogNormal distribution
Just to make sure there is no misunderstanding here: "not in a short time frame" means that it's unlikely that I'll have time to work on the missing special functions over the next couple months...
View ArticleCreated Unassigned: Johansen Cointegration Test [5730]
Would like to see support for Johansen test.http://www.mathworks.com/help/econ/jcitest.htmlhttp://en.wikipedia.org/wiki/Johansen_test
View ArticleNew Post: Percentile obsolete, how to use quantile?
Below is the sample code and results using both percentile and quantile. One question: is there a preferred collection, other than List<double>, in which I should be accumulating values from the...
View ArticleNew Post: 3.0 roadmap
Hi, thanks for your great work. Is there a roadmap for the 3.0 release?milestone in the issue trackerwhen and how many pre-releases will be published what is planed to include (other branches)? Thanks,...
View ArticleNew Post: 3.0 roadmap
Hi Thomas, Good point. There is no fixed roadmap so far, but I've just published a blog post detailing where we are and where we're heading to on the way towards v3:Towards Math.NET Numerics Version 3...
View ArticleNew Post: Matrix Inversion does not give an error?
If I try to invert a Matrix which is not invertable, it doesn't throw an Exception or gives me an error. I just get out a Matrix where all Elements are n.def's. Is there a way to check if a Matrix is...
View ArticleNew Post: Matrix Inversion does not give an error?
m.Inverse() is essentially the same as m.LU().Inverse() for a square matrix. The LU decomposition also provides the determinant - is it zero as it should be for a singular matrix, or is it NaN as...
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