- Course syllabus.
- Video Lectures.
- Lecture Notes, solutions to selected problems, and some extra materials.
- Code and Programs.
01. | Introduction |
02. | (Sec. 6.1 - 6.3.1) Distributions derived from Normal Distribution |
03. | (Sec. 6.3.2) Sampling from Normal Distribution |
04. | (Sec. 8.1 - 8.4) Estimation of Parameters and Fitting of Probability Distributions |
05. | (Sec. 8.3) The Method of Maximum Likelihood |
- Ch06: Solve 1, 2, 3, 4, 5, 6, 7, 10.
- Ch08: Solve 4, 5, 9(v.imp.), 13, 19, 20, 21, 23, 26, 27, 30(v. imp), 31, 43, 45(Project), 47, 50, 52, 53(v.imp), 57(v.imp), 59, 60.
- Ch09:
- Ch10: