epsilon is the error term in the model and represents the slop in estimating
the model terms (a,b,c,d)

as far as using exp in the denominator, look closer; they're forcing a
quantity to be positive.

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2556264/?tool=pubmed

neat paper, hadn't seen it before


On Thu, Nov 12, 2009 at 4:00 AM, Susan Bosco <susanbosco86@yahoo.com> wrote:

> Dear sir,
> In the four parameter logistic model used in MEDME algorithm,
> M = f mCpGwbini,
> (a,b,c,d) + Ɛ
>
>
>
>
>
>
>
>
>
>
>
>
>     =  b +       c - b              + Ɛ
>                      1 +
> expa∗(log mCpGwbini - logd)
>
> What do the symbol "Ɛ" and parameters a,b,c,d signify?Could you kindly
> explain this formula?also,the reason for using the exponential form in the
> denominator instead of natural logarithm?
>
> Thanking you in anticipation,
> Susan
> Student,Masters in Molecular Biology and Human Genetics,
> Manipal Life Sciences Center,
> Manipal,India
>
>
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>
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>


-- 
Statisticians, like artists, have a bad habit of falling in love with their
models.
--George Box

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