Course code:
STAT*3110
Section:
01
Attachments:
| Attachment | Size |
|---|---|
 Course Outline (Winter 2016) [1] | 86.25 KB |
| Course Outline (Winter 2017) [2] | 70.98 KB |
| Course Outline (Winter 2018) [3] | 87.32 KB |
| Course Outline (Winter 2019) [4] | 144.63 KB |
| Course Outline (Winter 2020) [5] | 89 KB |
| Course Outline (Winter 2021) [6] | 161.85 KB |
| Course Outline (Winter 2022) [7] | 181.43 KB |
| Course Outline (Winter 2023) [8] | 238.73 KB |
| Course Outline (Winter 2024) [9] | 117.62 KB |
Subject:
Statistics [10]
Course name:
Introductory Mathematical Statistics II
Details:
Estimation, unbiasedness, Cramer-Rao inequality, consistency, sufficiency, method of moments, maximum likelihood estimation; hypothesis testing, Neyman-Pearson lemma, likelihood ratio test, uniformly most powerful test; linear regression and correlation; non-parametric methods.
Course term:
Winter [11]
Course level:
3000 [12]
Academic level:
Undergraduate [13]
