MathGroup Archive 2003

[Date Index] [Thread Index] [Author Index]

Search the Archive

Re: Re: WeibullDistribution

  • To: mathgroup at smc.vnet.net
  • Subject: [mg42471] Re: [mg42462] Re: WeibullDistribution
  • From: Dr Bob <majort at cox-internet.com>
  • Date: Thu, 10 Jul 2003 03:36:54 -0400 (EDT)
  • References: <bee0f9$fhd$1@smc.vnet.net> <200307091224.IAA27174@smc.vnet.net>
  • Reply-to: majort at cox-internet.com
  • Sender: owner-wri-mathgroup at wolfram.com

No need to follow that link to get the Weibull PDF:

<< Statistics`ContinuousDistributions`
PDF[WeibullDistribution[a, 1], x]

Bobby

On Wed, 9 Jul 2003 08:24:34 -0400 (EDT), goh tat kean 
<gohtk at rocketmail.com> wrote:

> Dear Kee,
>
> The formula for the probability density function of the general
> Weibull distribution is given in:
>
> http://www.itl.nist.gov/div898/handbook/eda/section3/eda3668.htm
>
> Consider a Weibull PDF with scale parameter of 1 and shape parameter
> of 7, you can first define an equation,
>
> << Statistics`NonlinearFit`
> << Statistics`ContinuousDistributions`
> Clear[weif];
> weif[x_] := a x^(a - 1) Exp[-(x^a)]
>
> Create some dummy data and plot out the dummy data,
>
> data = Table[{x, a x^(a - 1) Exp[-(x^a)] + Random[Real, {-0.2, 0.2}] /. 
> {a ->
> 7}}, {x,
> 0.1, 1.5, 0.1}];
> ListPlot[data]
>
> Fit the dummy data by using NonlinearRegress to obtain a and b,
>
> NonlinearRegress[data, PDF[WeibullDistribution[a, b], x], x, {a, b}, 
> MaxIterations -> 1000000]
>
> Good luck!
>
> Regards,
> tat kean
>
> ce.choa.phen.kee at philips.com wrote in message 
> news:<bee0f9$fhd$1 at smc.vnet.net>...
>> Hi all,
>>
>> I have a set of data, but how can I find out the A and B in 
>> WeibullDistribution[ A , B ] ?
>>
>> There isn't much informaion regarding the WeibullDistribution provided 
>> in the Help Browser. Anyone pls help???
>>
>> Thanks in advance.
>>
>> regards,
>> kee
>
>



-- 
majort at cox-internet.com
Bobby R. Treat


  • Prev by Date: RE: Polar contour PLots
  • Next by Date: --Parallel Computing w/beowulf cluster
  • Previous by thread: Re: WeibullDistribution
  • Next by thread: Re: WeibullDistribution