Details of MA4106 (Autumn 2019)
Level: 4 | Type: Theory | Credits: 4.0 |
Course Code | Course Name | Instructor(s) |
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MA4106 | Statistics II | Satyaki Mazumder |
Syllabus |
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Simulation: Simulation technique for non-standard distributions including c2, t and F distributions (central as well as non-central).
Inference: MLE, drawbacks of method of moment estimation, EM algorithm, Estimation of linear model (with multicollinearity and multiple regression), exact tests for discrete and continuous (specially non-normal) distributions, interval estimation, c2 and KS goodness-of-fit test, frequency c2 and its use in testing of hypothesis (contingency table), test for r. |
Prerequisite |
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Statistics I (MA3205) |
References |
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Course Credit Options
Sl. No. | Programme | Semester No | Course Choice |
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1 | IP | 1 | Not Allowed |
2 | IP | 3 | Not Allowed |
3 | IP | 5 | Not Allowed |
4 | MR | 1 | Not Allowed |
5 | MR | 3 | Not Allowed |
6 | MS | 7 | Elective |
7 | RS | 1 | Not Allowed |
8 | RS | 2 | Not Allowed |