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https://issues.apache.org/jira/browse/MATH-784?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13268333#comment-13268333
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Sébastien Brisard commented on MATH-784:
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It seems we did the same simulations, with same conclusions! Good
OK, I think I did a lot of noise for nothing, it seems, and I do apologize for
that.
I just want to understand though, why the fomulas in MathWorld and NIST
Statistical Reference Datasets are different.
> Javadoc of AbstractLeastSquaresOptimizer.guessParametersErrors() is too vague
> -----------------------------------------------------------------------------
>
> Key: MATH-784
> URL: https://issues.apache.org/jira/browse/MATH-784
> Project: Commons Math
> Issue Type: Improvement
> Affects Versions: 3.0
> Reporter: Sébastien Brisard
> Assignee: Sébastien Brisard
> Labels: javadoc, optimization
> Fix For: 3.1
>
> Attachments: AbstractLeastSquaresOptimizerTestValidation.java,
> OUT.10, OUT.100, RandomStraightLinePointGenerator.java,
> StraightLineProblem.java, SyntheticData.java, SyntheticDataLinear.java,
> montecarlo_params.eps
>
>
> This bug report follows a recent discussion available
> [here|http://mail-archives.apache.org/mod_mbox/commons-dev/201204.mbox/%3C20120418122114.GB32074%40dusk.harfang.homelinux.org%3E].
> It is now recognized that the values returned by {{guessParametersErrors()}}
> are in fact known as (asymptotic) standard errors. The javadoc should be made
> more explicit. Besides, the values returned by this method should be tested.
> The reference datasets from [NIST|http://www.itl.nist.gov/div898/strd/] are
> to be used.
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