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

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Last updated: 7th of January 2017.