[R] truncated normal

[Bert Gunter]

... yes.
... And do note that in sampling, truncated != censored.
(They are often confused)

Cheers,
Bert

Bert Gunter
Genentech Nonclinical Biostatistics
(650) 467-7374

"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
Clifford Stoll




On Sun, Oct 5, 2014 at 9:32 AM, Ben Bolker <bbolker at gmail.com> wrote:
> Bob O'Hara <rni.boh <at> gmail.com> writes:
>
>>
>> This isn't an R question at all, so I don't know why it's on this list. But
>> the best answer I've got is "a truncated t-distribution with an infinite
>> number of degrees of freedom".
>>
>> Bob
>
>    Or, perhaps more productively:  "since your question is a general
> statistical question, it might be more useful to ask it (e.g.) on
> CrossValidated, <http://stats.stackexchange.com> ; however, you'll
> also need to expand and/or clarify your question before you ask
> it there.  It's not clear what kinds of similarity and/or properties
> you are looking for.  More context would be helpful."
>
>>
>> On 5 October 2014 17:18,
>> thanoon younis <thanoon.younis80 <at> gmail.com> wrote:
>>
>> > Dear all R-users
>> > I have a question regarding truncated normal distribution
>> > : which type of  probability distribution has same properties of truncated
>> > normal distribution?
>> > Many thanks in advance
>
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