Key words
Statistics 2
Objectives
This is a traditional statistics course. We start from the first principles of two dimensional variables and finish with the traditional estimation of parameters. The theorem of Cramer and Rao completes the course.
Prerequisites
The student is expected to have a thorough knowledge of the calculus of one variable. We also expect that the maximalisation techniques in two or more variables are well known and that integration of continuous functions of two or more variables is also a basic skill. These subjects are taught in the courses of mathematics in the first and second year.
Topics
Chebychev
Markov
Moment generating functions
Transformations
The chi square distributions
Regression and Anova
Estimation theory
Teaching Methods
Lectures
Materials used
Teacher's text
Study guidance
Assessment
Oral examination
Study costs
Lecturer(s)
Dirk BOLLAERTS
Language
Dutch
|
|
