Boost :

Date: 2006-07-11 12:26:01

Paul A Bristow wrote:
> What about the Qs? (complements)
>
>> As I mentioned before, these should be member functions,
>> which could be called "density" (also called 'mass')

Or distribution :-)

>> and "cumulative".
>
> OHOH many books don't mention either of these words!
>
> The whole nomenclature seems a massive muddle,
> with mathematicians, statistics, and users or all sorts using
> different
> terms
> and everyone thinks they are the 'Standard' :-(
>
> And the highest priority in my book is the END USERS,
> not the professionals.
>
>> The cumulative density function is a strictly increasing
>> function and
>> therefore can be inverted. The inverse function could be called
>> "inverse_cumulative", which is a completely unambiguous name.
>
> But excessively long :-(

True, how about "persentile", or is that to ambiguous?

>> Finally, you observe that it is often useful to specify the
>> cumulative
>> probability for a given value of the random variable and
>> solve for the
>> parameter (the "degrees of freedom" for a Students T
>> distribution) that
>> determines the distribution. Since each family of
>> distributions depends
>> on a different set of parameters (for example, normal distributions
>> depend on two parameters, the mean and variance), the
>> interface for this is trickier to define.
>
>> I can think of two possibilities (I prefer the first):
>>
>> 1) Define ad hoc inverse functions for each specific
>> distribution. So
>> for the Students T distribution, you would define a member
>> function of the form:
>>
>> double degrees_of_freedom(double cumulative_probability, double
>> random_variable) const;
>
> I don't like 2 either, so I have snipped it ;-)
>
> This seems OK to me.

That could be a static member function, since we're solving for the degrees
of freedom parameter. It would also be more natural to me for the
cumulative_probability parameter to come last in the list.

> I'd be grateful if you could sketch out how you see the whole
> Student's t class would look (just for double and omit the equations
> of course). (This will avoid any confusion about what we are talking