Hi,
I am a norwegian PhD student within the field of process control,
and in 7 days I am going to defend my thesis. One part of the "exam" is
to give a lecture on subject which is unknown to me. Six days ago I
received the title:
"Exploratory Process Data Analysis"
Focus is on methods and theory for the data-processing stage of model
developement. Issues should include nonlinear filtering techniques,
robust statistics, redundant techniques for data analysis, data
reconciliation, and graphical examination of data. In other words, the
process from raw data until model identification.
As far as I know, there is a huge amont of litterature on all these
issues. Does anyone know of books, papers or webpages which give a
survey over this field?
I'll be appreciated for any information.
Jostein Vada
===========================================================================
This list is open to everyone. Occasionally, less thoughtful
people send inappropriate messages. Please DO NOT COMPLAIN TO
THE POSTMASTER about these messages because the postmaster has no
way of controlling them, and excessive complaints will result in
termination of the list.
For information about this list, including information about the
problem of inappropriate messages and information about how to
unsubscribe, please see the web page at
http://jse.stat.ncsu.edu/
===========================================================================
