Applied Statistics - Week 7
Monday the 9th - Friday the 13th of January 2017
The following is a description of what we will go through during this
week of the course. The chapter references and computer exercises are
considered read, understood, and solved by the beginning of the
following class, where I'll shortly go through the exercise
solution.
General notes, links, and comments:
This week is the last with exercises, and in addition to these,
we will mainly focus on project 2.
Monday:
Fitting is an art, and the higher level of details wanted, and hence
the more parameters involved, the greater of an art it is. Todays
exercise is one in advanced fitting, introducing more and more
parameters.
This week we will be looking at advanced fitting and the tips and
tricks of this "art", which is at the same time the last curriculum
relevant for the exam. And then we will spend the last hour of both
Monday and Tuesday along with all of Friday on project 2.
Reading:
The following link is for inspiration.
Curve Fitting (Wikipedia)
Lecture(s):
Advanced Fitting
Computer Exercise(s):
FitDistributions.py,
Tuesday:
Reading:
There are no new things to read.
Lecture(s):
I will give a short introduction to todays exercise, but there
are no slides.
Computer Exercise(s):
Advanced fitting exercise:
HarmonicOscillatorFit.py,
data_HarmOsc1.txt,
data_HarmOsc2.txt,
data_HarmOsc3.txt,
Friday:
Reading:
No reading - focus on project 2.
Lecture(s):
There will be no lecture today, as we will discuss planning of
experiments and work on project 2.
Computer Exercise(s):
Planning an Experiment: PlanExp.py
Last updated: 7th of January 2017.