NTHU STAT 5410 - Linear Models

Sep 2022 ~ Jan 2023

 Notes Jan 15 作業總成績, 期末考成績, 學期總成績, 及成績統計。 Jan 15 期末考解答。 Jan 03 期末考考古題及其解答。 Jan 03 期末考資訊及注意事項。 Nov 23 自下周(11/28)起，黃晨溦助教的office hour時間，將更改至每周三下午1:20~2:10，地點則維持不變(綜合三館840室)。更改後所有助教的office hour時間和地點，請見Syllabus。 Nov 23 期中考解答及成績統計。 Nov 07 期中考考古題及解答。 Nov 07 期中考資訊及注意事項。

 Lecture Notes Lecture Notes with Hand-Written Notices Video 01 (1133 views) (465 views) (350 views) 02 (652 views) (398 views) (390 views) Sep 29 (443 views) 03 (572 views) (503 views) (499 views) Oct 06 (483 views) (420 views) (408 views) 04 (387 views) (341 views) (366 views) Oct 20 (362 views) (322 views) (339 views) 05 (316 views) (285 views) (267 views) Nov 03 (277 views) (229 views) (196 views) 06 (306 views) (251 views) (272 views) (273 views) Nov 17 (257 views) 07 (303 views) Nov 24 (273 views) (250 views) (235 views) Dec 01 (232 views) (211 views) (205 views) 08 (238 views) (219 views) (223 views) Dec 15 (217 views) (197 views) (205 views) Dec 22 (200 views) 09 (201 views) (171 views) Dec 29 (191 views) (179 views) (185 views) Jan 05 (193 views) 10 (197 views) (169 views)
• Lab

 1 Introduction to R (332 views) 2 Initial Data Analysis (241 views) 3 Parameter Estimation (256 views) (179 views) 4 Hypotheses Testing (190 views) 5.01 Confidence Interval and Region (136 views) 5.02 Orthogonality (118 views) 5.03 Identifiability (88 views) 5.04 Interpretation of Parameter Estimates (87 views) 6.01 Generalized Least Squares (135 views) 6.02 Weighted Least Squares (134 views) 6.03 Testing for Lack of Fit (134 views) 7.01 Diagnostic 1 (residual, leverage, studentized residual, outlier, jacknife residual, influential observation, Cook's statistic) (157 views) 7.02 Diagnostic 2 (residual plots, non-constant variance, added variable plot, partial residual plot, Q-Q plot, half-normal plot, correlated errors) (141 views) 8.01 Mean Structure for Quantitative Predictors (no video) 8.02 Mean Structure for Qualitative Predictors (no video) 8.03 Box-Cox Transformation (no video) 9.01 Model (Variable) Selection (no video) 9.02 Error in Predictors (no video) 9.03 Collinearity, Principal Component, Ridge Regression (no video) 9.04 Analysis Strategy --- A Real Example: Chicago Insurance Redlining (no video) 10.01 Robust Regression (no video) 10.02 Incomplete Data (no video)

• Assignment and solution

 Assignment Due Day Solution Homework 1 Oct 06 sol (revised 2) Homework 2 Oct 20 sol Homework 3 Nov 03 sol Homework 4 Nov 17 sol Homework 5 Dec 01 sol Homework 6 Dec 15 sol Homework 7 Jan 05 sol