[R] Estimating Mean of a Poisson Distribution Based on Interval censoring

[John Kane]

Thank you, kind sir, you are correct but I was too rushed to write more as the bread needed to be taken out of the oven.  

John Kane
Kingston ON Canada


> -----Original Message-----
> From: pdalgd at gmail.com
> Sent: Sun, 14 Feb 2016 15:37:22 +0100
> To: jrkrideau at inbox.com
> Subject: Re: [R] Estimating Mean of a Poisson Distribution Based on
> Interval censoring
> 
> Fortune candidate :-)
> 
> However, the more scientific approach would be to ask for evidence to be
> scrutinized, acknowledging that R might be fallible, however unlikely
> that may seem.
> 
> Also, there is always the possibility that there are two answers because
> the question is not the same.
> 
> -pd
> 
>> On 14 Feb 2016, at 14:35 , John Kane <jrkrideau at inbox.com> wrote:
>> 
>>> By the way, is there anything for lognormal?I think fitdistcens is not
>>> good for this purpose as it gives me different result compared to SAS
>> 
>> The general assumption is that if Excel or any other spreadsheet gives a
>> result that is different from R then R will be correct.
>> 
>> Generally with SAS it may be that R is correct or just that R and SAS
>> use slightly different algorithms.
>> 
>> John Kane
>> Kingston ON Canada
>> 
>> 
>>> -----Original Message-----
>>> From: r-help at r-project.org
>>> Sent: Sat, 13 Feb 2016 08:45:02 +0000 (UTC)
>>> To: r-help at r-project.org
>>> Subject: [R] Estimating Mean of a Poisson Distribution Based on
>>> Interval
>>> censoring
>>> 
>>> Dear all,
>>> I appreciate that if you let me know if there is any package
>>> implemented
>>> in R for Estimating Mean of a Poisson Distribution Based on Interval
>>> censoring? And if yes, could you please provide some information about
>>> it:)
>>> By the way, is there anything for lognormal?I think fitdistcens is not
>>> good for this purpose as it gives me different result compared to SAS
>>> and
>>> only useful for right/left censoring and not interval censoring (or
>>> both
>>> left and right together).
>>> Kind regards,Mohsen
>>> 	[[alternative HTML version deleted]]
>>> 
>>> ______________________________________________
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>>> PLEASE do read the posting guide
>>> http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>> 
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>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
> 
> --
> Peter Dalgaard, Professor,
> Center for Statistics, Copenhagen Business School
> Solbjerg Plads 3, 2000 Frederiksberg, Denmark
> Phone: (+45)38153501
> Office: A 4.23
> Email: pd.mes at cbs.dk  Priv: PDalgd at gmail.com

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