STATISTICAL THEORY II (4 Credits)

Learning Outcomes:

On successful completion of this course, students will be able to: explain the concept of estimation, properties of point estimation and method of estimation; construct the hypothesis testing for mean or variance to the given problems; infer concerning linear function of the model parameters, design experiment and analysis of variance for a one-way layout.

Topics:

1. Estimation;
2. Properties of Point Estimators and Methods of Estimation;
3. Hypothesis Testing;
4. Linear Regression Models;
5. Design Experiments;
6. Analysis of Variance;
7. Estimation;
8. Properties of Point Estimators and Methods of Estimation;
9. Hypothesis Testing;
10. Linear Regression Models;
11. Design Experiments;
12. Analysis of Variance.