Re: Fit with covariance matrix error

Hi,

  You can do that, but in case of data with correlated errors you will need to write your self the least square function to minimize with Minuit.
An example on how to minimize a function in multi-dimension you find in

http://root.cern.ch/drupal/content/numerical-minimization

Best Regards

  Lorenzo

On Jul 29, 2009, at 9:08 PM, Campa Romero, Julia Monica wrote:

> Hi,
> I would like to know if there is any way to:
> Given a set of observations with correlated data errors, make a fit
> to a function that depends nonlinearly parameters model with
> Minuit, for example.
>
>
> Thanks,
>
> Julia Campa
>
> ---------------------------- Confidencialidad: Este mensaje y sus
> ficheros adjuntos se dirige exclusivamente a su destinatario y puede
> contener información privilegiada o confidencial. Si no es vd. el
> destinatario indicado, queda notificado de que la utilización,
> divulgación y/o copia sin autorización está prohibida en virtud de
> la legislación vigente. Si ha recibido este mensaje por error, le
> rogamos que nos lo comunique inmediatamente respondiendo al mensaje
> y proceda a su destrucción. Disclaimer: This message and its
> attached files is intended exclusively for its recipients and may
> contain confidential information. If you received this e-mail in
> error you are hereby notified that any dissemination, copy or
> disclosure of this communication is strictly prohibited and may be
> unlawful. In this case, please notify us by a reply and delete this
> email and its contents immediately. ----------------------------
Received on Wed Aug 05 2009 - 16:17:19 CEST