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From Luc Maisonobe <Luc.Maison...@free.fr>
Subject Re: [math] Re: NormalDistribution
Date Tue, 09 Mar 2010 19:08:06 GMT
kalpa rajadurai a écrit :
> Hi Team,
> 
> We are delighted to see that bug (MATH-301) is now in Resolved status. We
> thank your team for good efforts in resolving the bug.
> We would like to know, the expected release date of version 2.1.

We are working on it. It should be really soon now, perhaps one or two
weeks, but no promise.

Luc

> 
> Thanks
> Kalpa
> 
> On Mon, Feb 22, 2010 at 4:29 PM, kalpa rajadurai <arkalpa@gmail.com> wrote:
> 
>> Hi Team,
>>
>> Thanks for your quick response.
>>
>> We would like to know, when this bug will be fixed and probably when
>> Commons Math 2.1 Version would be released? As our project is dependent on
>> your API, it would be highly appreciated if we get the fix or any kind of
>> work around as soon as possible.
>>
>> Thanks in advance
>>
>>
>> On Sat, Feb 20, 2010 at 8:41 PM, Phil Steitz <phil.steitz@gmail.com>wrote:
>>
>>> kalpa rajadurai wrote:
>>>> Hi Team,
>>>>
>>>> We are working on a small project in designing a web based statistical
>>>> calculator, supporting certain distribution functions.
>>>>
>>>> we used  method *cummulativeProbability(double x)* of *class
>>>> NormalDistributionImpl* for implementing Normal distribution function.
>>>>
>>>> We tried to cross check Apache API's result with that of OpenOffice Calc
>>> and
>>>> Excel's result. In most of the cases, the results matched with each
>>> other.
>>>> But in certain rare cases, the cumulativeProbability() method returned
>>> by
>>>> slightly different result when compared to the result returned by
>>> NORMDIST()
>>>> function of openoffice calc and Excel.
>>>>
>>>> Here goes the illustration of the case where we found the mismatch in
>>>> results:
>>>>
>>>> *Using Apache's API:*
>>>> NormalDistribution normDist = new NormalDistributionImpl(40,1.5)
>>>> ;
>>>> try{
>>>> System.out.println("cummulative probability::
>>>> "+normDist.cumulativeProbability(0.908789));
>>>> }
>>>> catch(MathException e){
>>>> e.printStackTrace();
>>>> }
>>>>
>>>> *Result:*
>>>> cummulative probability:: *-8.104628079763643E-15*
>>>>
>>>> *Using openoffice calc:*
>>>> Same input values given in openoffice calc using the formula:
>>>> *=NORMDIST(0.908789;40;1.5;1)*
>>>>
>>>> *Result:*
>>>> *0.0*
>>>>
>>>> *Using Microsoft Excel:*
>>>> Same input values given in excel using the formula:
>>>> *=NORMDIST(0.908789;40;1.5;1)*
>>>>
>>>> *Result:*
>>>> *5.0738E-150*
>>>>
>>>> *Different results:*
>>>> Apache  -8.104628079763643E-15
>>>> Openoffice 0.0
>>>> Excel 5.0738E-150
>>>>
>>>> We wish to know the following things,
>>>> 1.) What is the reason for this variation in results?
>>> The difference is due to different numeric algorithms used to
>>> approximate the cumulative probabilities - in particular how extreme
>>> values are handled.  The probability in the example is very close to
>>> zero - all three agree on that.
>>>
>>>> 2.) Which result is more accurate?
>>> Excel is likely the best answer; though the only confirmation that I
>>> can give of that is that R gives the same answer and the correct
>>> answer is certainly positive.  The worst answer is the one reported
>>> by commons-math.  The value should not be negative.  This is likely
>>> related to an open bug (MATH-301).  Thank you for reporting this.
>>>
>>>> 3.) Is there any possibility to get the same results as Open Office or
>>> Excel
>>>> for this case, using Apache's API?
>>> Commons Math 2.1 will correct the bug mentioned above, so we will
>>> return either 0 or a positive value for this and other extreme tail
>>> probabilities.
>>>
>>> Thanks again for pointing out the discrepancy.
>>>
>>> Phil
>>>
>>>> Hope to receive reply from your team at the earliest as possible.
>>>> Thanks in Advance
>>>>
>>>
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>>>
>>>
>>
>> --
>> Karpaga R
>>
>> "Did you always know that?"
>> "No, I didn't. But I believed"
>>  ---Matrix III
>>
>>
>>
> 
> 


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