[R] estimation problem

[Kehl Dániel]

Dear Jeff,

thank you for the response.
Of course I know this is a theory question still I hope to get some 
comments on it
(if somebody already dealt with alike problems might suggest a package 
and it would not take longer than saying this is a theoretical question)
The values are counts, so 0 means those cases do not have this item, 
they have 0, as such it means a "real zero", they are valid members.

thanks,
daniel

2012.05.03. 16:42 keltezéssel, Jeff Newmiller írta:
> Although you have provided R code to illustrate your problem, it is fundamentally a statistics theory question, and belongs somewhere else like stats.stackexchange.net.
>
> When you post there, I recommend that you spend more effort to identify why the zeros are present. If they are indicators of unknown values, that will be very different than if zeros are valid members of the population.
> ---------------------------------------------------------------------------
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> Sent from my phone. Please excuse my brevity.
>
>
>
> "Kehl Dániel"<kehld at ktk.pte.hu>  wrote:
>
>> Dear List-members,
>>
>> I have a problem where I have to estimate a mean, or a sum of a
>> population but for some reason it contains a huge amount of zeros.
>> I cannot give real data but I constructed a toy example as follows
>>
>> N1<- 100000
>> N2<- 3000
>> x1<- rep(0,N1)
>> x2<- rnorm(N2,300,100)
>> x<- c(x1,x2)
>>
>> n<- 1000
>>
>> x_sample<- sample(x,n,replace=FALSE)
>>
>> I want to estimate the sum of x based on x_sample (not knowing N1 and
>> N2
>> but their sum (N) only).
>> The sample mean has a huge standard deviation I am looking for a better
>>
>> estimator.
>> I was thinking about trimmed (or "left trimmed" as my numbers are all
>> positive) means or something similar,
>> but if I calculate trimmed mean I do not know N2 to multiply with.
>>
>> Do you have any idea or could you give me some insight?
>>
>> Thanks a lot:
>> Daniel
>>
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>
>