Hi Fariba,
You are welcome to do so. I've updated the article, see section 5.
Best regards,
Vincent
> Dear Dr Vincent,
> Shall I share this with my classmate in the MSc course? this would be
> interesting to see
>
> perhaps some of them would change direction....
> Thank you, it was great.
> Fariba
>
>
>
>
> On Thursday, 13 March 2014, 23:19, Vincent Granville
> <[log in to unmask]> wrote:
>
> All the regression theory developed by statisticians over the last 200
> years (related to the general linear model) is useless. Regression can be
> performed as accurateky without statistical models, including the
> computation of confidence intervals (for estimates, predicted values or
> regression parameters). The non-statistical approach is also more robust
> than the one described in all statistics textbooks and taught in all
> statistical courses. It does not require Map-Reduce when data is really
> big, nor any matrix inversion, maximum likelihood estimation, or
> mathematical optimization (Newton algorithm). It is indeed incredibly
> simple, robust, easy to interpret, and easy to code (no statistical
> libraries required).
>
> This article has the following sections:
>
> 1. My solution applied to beautiful data
> 2. My solution applied to ugly data
> 3. Practical example (and metrics to compare performance)
> 4. Program to simulate realistic data used in this article
> 5. Next steps
>
> It also comes with a spreadsheet with detailed computations, including
> linear regression done with Excel.
>
> Read at http://goo.gl/mnDAER
>
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