On Jul 12, 2014, at 4:25 AM, Kevin Kunzmann wrote:
> Hi,
>
> I am currently trying to build a regression model for calibration of HPLC
> outputs. I decided to use a multiplicative error model:
>
> Y_i = (a*X_i + b)*eps_i
>
> where the eps_i ~ iid N(0, s^2). Now I am having a hard time estimat
Hi,
I am currently trying to build a regression model for calibration of
HPLC outputs. I decided to use a multiplicative error model:
Y_i = (a*X_i + b)*eps_i
where the eps_i ~ iid N(0, s^2). Now I am having a hard time estimating
my parameters ;) So the idea was to apply log() to both sides:
no the manual doesn't help me. because, it doesn't give me the results i
need.
this is what i obtain (y in my case is the daily range of s&p)
> mem <- dm( y~mem(1,1) )
> summary( mem)
Call:
dm(formula = y ~ mem(1, 1))
> mem
Call:
dm(formula = y ~ mem(1, 1))
Coefficients:
[1] 0.001656 0.2340
HI,
i'm trying to estimate a multiplicative error model in R, i've seen the
dynamo package but it seems that i'm not able to use it. does someone know
how can i do it?
thanks
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What do you mean by using the package?
Aren't the examples in the package manual at
http://cran.r-project.org/web/packages/dynamo/dynamo.pdf
enough for you?
Ozgur
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