Requirements for this paper:
Multiple choice cards:
Graph paper:
Non-programmable calculator:
x
Open book examination
Laptop:
SEMESTER TEST:
2
QUALIFICATION:
B.Sc
MODULE CODE:
STTK 321
DURATION: 120 MIN
SUBJECT:
Linear Models
MARKS: 58
EXAMINER(S):
Mr M S
Requirements for this paper:
Multiple choice cards:
Graph paper:
Non-programmable calculator:
x
Open book examination
Laptop:
SEMESTER TEST:
2
Memo
QUALIFICATION:
B.Sc
MODULE CODE:
STTK 321
DURATION: 120 MIN
SUBJECT:
Linear Models
MARKS: 58
EXAMINER(S):
M
Study Unit 2:
Inferences in Regression and
Correlation Analysis
Study Unit 2: Outcomes
Sample distributions of the estimators and characteristics of the distributions.
Point-, interval- and hypothesis based estimation methods of parameters of the model.
S
Study Unit 1: Linear Regression with
One Predictor variable
Study Unit 1: Outcomes
Students should know the following concepts and be able to present
them:
The term functional and statistical relations and the difference
between it.
Error terms and conc
Simultaneous Inferences and other
topics in Regression Analysis
Study Unit 3: Outcomes
Students should know the following purpose of simultaneous
estimation of parameters and error prevention procedures and be
able to interpret them:
Bonferroni
Working-
Diagnostics and Remedial Measures
Study Unit 2: Outcomes
Residuals and residual analysis. Model assumptions and the search
for deviations. Graphical and formal tests: randomness, non-fitting,
constant variance, outliers and remedial steps regarding it.
Study Unit 1: Linear Regression with
One Predictor variable
Study Unit 1: Outcomes
Students should know the following concepts and be able to present
them:
The term functional and statistical relations and the difference
between it.
Error terms and conc
Matrix Approach to Simple Linear
Regression Analysis
Study Unit 4: Chapter 5
Study Unit 2: Learning Outcomes
Aims
Simple direct methods should be developed to find unique solutions
for multiple systems of equations with several unknowns. Matrixs
algebra
Multiple Regression I
Study Unit 5: Chapter 6
Study Unit 5 : Outcomes
Students should have developed all knowledge obtained about simple models to
models with more regressors, by implementing matrix methods, including
definitions, estimators and technique
Study Unit 2:
Inferences in Regression and
Correlation Analysis
Study Unit 2: Outcomes
Sample distributions of the estimators and characteristics of the distributions.
Point-, interval- and hypothesis based estimation methods of parameters of the model.
S
Study Unit 2:
Inferences in Regression and
Correlation Analysis
Study Unit 2: Outcomes
Sample distributions of the estimators and characteristics of the distributions.
Point-, interval- and hypothesis based estimation methods of parameters of the model.
S
Model Building III Remedial
Measures
Chapter 11
Study Unit 9 : Outcomes
After completion of 9, 10 and 11 chapters, students have to be able to master
the following concepts, definitions and tests and to be able to execute
applications where necessary.
Th
Nonlinear Regression Models and Neural
Networks
Study Unit 9 : Chapter 13
Study Unit 9 : Outcomes
After completion of this chapter 13 and 14, the students should have mastered the
following concepts:
Expansion to non linear models and other kinds of model
Regression Models for
Quantitative and Qualitative
Predictors
Study Unit 7: Chapter 8
Study Unit 7 : Outcomes
Attention is given to interaction terms of combinations of quantitative
and qualitative regressors.
Students have to give account of the followin
Multiple Regression II
Study Unit 6: Chapter 7
Study Unit 6 : Outcomes
New ways to spot errors and correct it, which handles inherent dilemma
structures in data, such as multi-collinearity, should be acquired.
Students should acquire insight in the applic
Qualitative, Model selection, diagnostics
and remedial measures
Chapter 8, 9 & 10
Chapter 8:
We are interested in quadratics, cubics, etc. relationships and define
squares, cubes, etc., in a data step and using them as additional predictor
variables.
We c
Building the Regression Model II:
Diagnostics
Study Unit 8: Chapter 10
Study Unit 9 : Outcomes
After completion of 9, 10 and 11 chapters, students have to be able to master
the following concepts, definitions and tests and to be able to execute
applicatio
Building the Regression Model I:
Model selection and Validation
Study Unit 8: Chapter 9
Study Unit 8 : Outcomes
After completion of 9, 10 and 11 chapters, students have to be able to master
the following concepts, definitions and tests and to be able to e