Exam MAS-I

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Welcome to the MAS-I Announcements Page!

Thu, 17 Nov 2016

Welcome to the Announcements Tab for the TIA MAS-I Seminar. Here you will primarily find records of important updates, changes, and corrections to the seminar content. Any old posts here do not need to be considered for new users of the seminar – if there are any old posts that need to be considered again, … Continue reading →

D.2.1, D.5.2 updated

Sat, 15 Dec 2018

Lessons D.2.1 and D.5.2 were updated today, so please re-download the handouts for those lessons. The D.2.1 update is small, adding to the definition of a GLM link function that the function must be monotone and differentiable. The D.5.2 update is a bit larger, clarifying the definition of the VIF and how it is computed.

Fall 2018 video solutions posted

Mon, 29 Oct 2018

I finished up the video solutions for the Fall 2018 exam today. You can find these in the sample exams tab, just below sample exam 4. These are free samples until the next exam sitting, so you don’t have to be logged into the site to view them. I counted about the same number of … Continue reading →

Time series “Intercept” clarification, and new problems this week

Fri, 05 Oct 2018

Thanks to Tiffany for bringing my attention to the fact that the solution to the second example in the review lesson for E.2 was not consistent with the solutions to somewhat similar problems from old exams and sample exams. I think that this lesson problem was not being solved the way that you would be expected … Continue reading →

Before You Begin ... lessons ... min of video
- ***Start Here!*** ...
  - How to use the seminar (sample) (3:49)
- New to TIA? Take a tour. ...
  - How to Prepare for actuarial exams (sample) (15:41)
  - Problem System Tour (sample) (7:45)
  - Forum Tour (sample) (5:58)
  - You Failed. Now what? (12:00)
- Schedule, Syllabus and Study Notes ...
  - Customizable Study Schedule (handout)
  - Video Player Keyboard Shortcuts (sample) (handout)
  - 2018 Exam Syllabus (From CAS) (handout)
  - Poisson Processes Study Note (From CAS) (handout)
  - Life Contingencies Study Note (From CAS) (handout)
  - GLM Study Note (From CAS) (handout)
  - Knowledge Mapping (From CAS) (handout)
- Formula Sheets ...
  - Cas MAS-I Exam Tables (handout)
  - All Sheets in 1 zip file (handout)
  - A.1 Formula Sheet (handout)
  - B.1 Formula Sheet (sample) (handout)
  - B.2 Formula Sheet (handout)
  - B.3 Formula Sheet (handout)
  - B.4 Formula Sheet (handout)
  - B.5 Formula Sheet (handout)
  - C.1 Formula Sheet (handout)
  - C.2 Formula Sheet (handout)
  - C.3 Formula Sheet (handout)
  - D.1 Formula Sheet (handout)
  - D.2 Formula Sheet (handout)
  - D.3 Formula Sheet (handout)
  - D.4 Formula Sheet (handout)
  - D.5 Formula Sheet (handout)
  - D.6 Formula Sheet (handout)
  - E.1 Formula Sheet (handout)
  - E.2 Formula Sheet (handout)
  - E.3 Formula Sheet (handout)
- Printable Flash Cards ...
  - All Flashcards 6 per page for printing (handout)
  - All Flashcards 3 per page for Avery (handout)
  - All Flashcards PDF (handout)
  - All Flashcards JPEG (handout)
A. Prerequisite Material ... lessons ... min of video
- Prerequisite Review ...
  - A.1 Handouts (handout)
  - A.1.1 Calculus Review (6:37)
  - A.1.2 Probability Review (37:14)
B. Stochastic Processes ... lessons ... min of video
- B.1 Poisson Processes ...
  - B.1.1 Exponential Random Variables Part 1 (27:47)
  - B.1.2 Exponential Random Variables Part 2 (22:17)
  - B.1.3 What is a Poisson Process? (sample) (18:13)
  - B.1.4 Waiting Times, Classification (25:15)
  - B.1.5 Nonhomogeneous Poisson Processes (17:03)
  - B.1.6 Compound Poisson Processes (22:55)
- B.2 Continuous Multiple Lives/Decrements ...
  - B.2.1 Hazard Rate (26:36)
  - B.2.2 Joint-Life Status (18:59)
  - B.2.3 Last-Survivor Status (15:01)
  - B.2.4 Multiple Decrements (12:42)
  - B.2.5 Multi-Component Joint-Life and Last-Survivor (21:42)
  - B.2.6 The Bridge System (35:44)
  - B.2.7 The k out of n system (22:18)
  - B.2.8 The Random Graph (22:15)
  - B.2.9 Expected Lifetimes (21:26)
- B.3 Markov Chains ...
  - B.3.1 Discrete Markov Chains (22:31)
  - B.3.2 Classification of States (sample) (20:42)
  - B.3.3 Long Run Behavior (26:21)
  - B.3.4 Applications 1 (22:41)
  - B.3.5 Applications 2: Branching Processes (18:32)
- B.4 Life Contingencies ...
  - B.4.1 Life Tables and the ILT (17:23)
  - B.4.2 Future Lifetime Moments - Discrete Case (12:48)
  - B.4.3 Life Contingent Cash Flows (9:56)
  - B.4.4 Whole Life Insurance (20:00)
  - B.4.5 Whole Life Annuities (21:48)
  - B.4.6 Term Insurance (12:05)
  - B.4.7 Endowment Insurance and Temporary Annuities (22:52)
  - B.4.8 Level Annual Premiums (14:20)
  - B.4.9 Joint-Life and Last-Survivor Status (18:35)
  - B.4.10 Fractional Ages, Adjusted Mortality (12:07)
  - B.4.11 Multiple Decrement Tables (9:14)
- B.5 Simulation ...
  - B.5.1 Simulating Uniform Random Numbers (17:37)
  - B.5.2 Inverse Transform Method (10:51)
  - B.5.3 Acceptance-Rejection Method (31:41)
C. Statistics ... lessons ... min of video
- C.1 Parameter Estimation ...
  - C.1.1 Estimator Basics (sample) (19:28)
  - C.1.2 Comparing Estimators: Mean and Variance (23:01)
  - C.1.3 Comparing Estimators: Likelihood and Sufficiency (26:22)
  - C.1.4 The Maximum Likelihood Estimator (30:38)
  - C.1.5 Advanced Likelihood Functions (26:40)
  - C.1.6 Variance of MLE (18:34)
  - C.1.7 Exponential Family (31:42)
  - C.1.8 Method of Moments (15:53)
  - C.1.9 Percentile Matching (20:47)
  - C.1.10 Kernel Density Estimation (31:32)
- C.2 Hypothesis Testing ...
  - C.2.1 Hypothesis Testing (34:57)
  - C.2.2 Tests for the mean: ``Known'' variance (32:04)
  - C.2.3 Tests for the mean: ``Unknown'' Variance (25:45)
  - C.2.4 Comparing Populations (29:20)
  - C.2.5 Tests for Variance (16:05)
  - C.2.6 Confidence Intervals (36:51)
  - C.2.7 Other Chi-Square Tests (26:07)
  - C.2.8 Likelihood Ratio Test (39:52)
  - C.2.9 Kolmogorov-Smirnov Test (20:21)
- C.3 Order Statistics ...
  - C.3.1 Order Statistics (24:38)
  - C.3.2 Uniform and Exponential Order Stats (17:53)
  - C.3.3 Mixtures (17:24)
D. Extended Linear Models ... lessons ... min of video
- D.1 Classical Linear Models ...
  - D.1.0 Statistical Learning (20:42)
  - D.1.1 Single Variable Linear Regression (33:31)
  - D.1.2 Multivariable Linear Regression (37:14)
  - D.1.3 Categorical Variables (30:35)
  - D.1.4 General Linear Models (27:48)
- D.2. Generalized Linear Models ...
  - D.2.1 GLM Overview (8:25)
  - D.2.2 Exponential Families, Redux (23:48)
  - D.2.3 Continuous Response Distributions (15:19)
  - D.2.4 Categorical Response: Binary (18:06)
  - D.2.5 Categorical Response: Multinomial (26:57)
  - D.2.6 Categorical Response: Count Data (13:09)
- D.3 Model Testing and Estimation ...
  - D.3.1 Score Statistic (30:58)
  - D.3.2 Wald Statistic (17:15)
  - D.3.3 Likelihood Ratio Statistic: Deviance (20:05)
  - D.3.4 Model Estimation (20:29)
  - D.3.5 Testing with the Wald Statistic (44:00)
  - D.3.6 Testing with Deviance (39:49)
  - D.3.7 Testing General Linear Models (38:10)
- D.4 Model Evaluation ...
  - D.4.1 Residuals (19:20)
  - D.4.2 Evaluating Fit Using Residuals (35:59)
  - D.4.3 Goodness of Fit Statistics (23:16)
  - D.4.4 Cross Validation (28:19)
  - D.4.5 Bootstrap (15:00)
- D.5 Model Selection ...
  - D.5.1 Subset Selection (23:25)
  - D.5.2 High-Dimension Models (19:11)
  - D.5.3 Shrinkage Methods (30:18)
  - D.5.4 Dimension Reduction Methods (25:47)
- D.6 Generalized Additive Models ...
  - D.6.1 Generalized Additive Models (17:33)
  - D.6.2 Regression Splines (25:31)
  - D.6.3 Smoothing Splines and Local Regression (21:29)
- D.7 Modeling with R ...
  - D.7.1 Continuous Response (38:29)
  - D.7.2 Categorical Response (28:20)
  - D.7.3 Count Data (25:56)
  - D.7.4 High Dimensional Modeling Part 1 (20:20)
  - D.7.4 High Dimensional Modeling Part 2 (19:54)
  - D.7.5 GAM Part 1 (19:57)
  - D.7.5 GAM Part 2 (16:02)
E. Time Series ... lessons ... min of video
- E.1 Time Series Basics ...
  - E.1.1 Time Series (19:04)
  - E.1.2 Decomposition (16:53)
  - E.1.3 Correlation (27:35)
  - E.1.4 Cross-Correlation (17:14)
  - E.1.5 Bass Diffusion Model (Removed from Syllabus) (handout)
  - E.1.6 Exponential Smoothing & Holt-Winters (Removed from Syllabus) (handout)
- E.2 Time Series Models ...
  - E.2.1 Random Walks (31:47)
  - E.2.2 Autoregressive Models (24:19)
  - E.2.3 Moving Average Models (19:41)
  - E.2.4 ARMA Models (23:15)
  - E.2.5 Non-seasonal ARIMA Models (17:09)
  - E.2.6 Seasonal ARIMA Models (20:05)
- E.3 Time Series Regression ...
  - E.3.1 Regression Modelling (16:13)
  - E.3.2 Seasonal Regression (24:46)
  - E.3.3 Logarithmic and Nonlinear Models (24:46)
What to do after you finish the lessons ... lessons ... min of video
- Managing the work problems study phase ...
  - The Last Lesson (8:33)
Review Lessons ... lessons ... min of video
- Stochastic Processes Review (Update Complete) ...
  - Poisson Processes Review(update complete) (25:28)
  - Continuous/Multiple Lives Review (update complete) (37:23)
  - Markov Chains Review (update complete) (21:29)
  - Life Contingencies Review, Part 1 (update complete) (26:08)
  - Life Contingencies Review, Part 2 (update complete) (17:56)
  - Simulation (Update Complete!) (20:59)
- Statistics Review (Update Complete) ...
  - Parameter Estimation Review (update complete) (33:23)
  - Hypothesis Testing Review (update complete) (42:49)
  - Nonparametric Statistics Review (update complete) (12:00)
- General Linear Models Review (Update Complete) ...
  - Classical Linear Models Review (Update Complete) (42:01)
  - Generalized Linear Models Review (Update Complete) (32:06)
  - Model Testing and Estimation Review Part 1 (Update Complete) (22:32)
  - Model Testing and Estimation Review Part 2 (Update Complete) (25:38)
  - Model Evaluation Review (Update Complete) (33:22)
  - Model Selection and Regularization Review (Update Complete) (26:46)
  - General Additive Models Review (Update Complete) (23:04)
- Time Series Review (Update Complete) ...
  - Time Series Basics Review (27:12)
  - Time Series Models Review (31:22)
  - Time Series Regression Review (19:16)

Start Here! ... lessons ... min of video
- How I suggest that you use the Solutions Tab ...
  - Watch Solutions Effectively and Efficiently! (5:49)
B.1 Poisson Processes ... lessons ... min of video
- B.1.1 Exponential Random Variables Part 1 ...
  - B.1.1 #1 (2:28)
  - B.1.1 #2 (3:17)
  - B.1.1 #3 (2:49)
  - B.1.1 #4 (3:11)
  - B.1.1 #5 (1:47)
  - B.1.1 #6 (2:50)
- B.1.2 Exponential Random Variables Part 2 ...
  - B.1.2 #1 (1:42)
  - B.1.2 #2 (1:26)
  - B.1.2 #3 (2:15)
  - B.1.2 #4 (7:26)
  - B.1.2 #5 (5:10)
- B.1.3 What is a Poisson Process? ...
  - B.1.3 #1 (2:55)
  - B.1.3 #2 (2:58)
  - B.1.3 #3 (4:42)
  - B.1.3 #4 (5:13)
  - B.1.3 #5 (6:55)
  - B.1.3 #6 (4:47)
  - B.1.3 #7 (7:54)
- B.1.4 Waiting times, Classification ...
  - B.1.4 #1 (2:28)
  - B.1.4 #2 (1:41)
  - B.1.4 #3 (1:34)
  - B.1.4 #4 (1:38)
  - B.1.4 #5 (1:44)
  - B.1.4 #6 (4:14)
  - B.1.4 #7 (1:34)
  - B.1.4 #8 (3:56)
  - B.1.4 #9 (5:08)
  - B.1.4 #10 (2:23)
  - B.1.4 #11 (3:24)
  - B.1.4 #12 (3:38)
  - B.1.4 #13 (6:10)
  - B.1.4 #14 (5:59)
  - B.1.4 #15 (6:49)
  - B.1.4 #16 (3:31)
  - B.1.4 #17 (5:01)
  - B.1.4 #18 (2:37)
  - B.1.4 #19 (3:52)
  - B.1.4 #20 (3:22)
  - B.1.4 #21 (1:36)
  - B.1.4 #22 (4:01)
  - B.1.4 #23 (1:25)
  - B.1.4 #24 (1:52)
  - B.1.4 #25 (4:27)
  - B.1.4 #26 (0:40)
  - B.1.4 #27 (7:41)
  - B.1.4 #28 (1:48)
  - B.1.4 #29 (4:58)
  - B.1.4 #30 (1:45)
- B.1.5 Nonhomogeneous Poisson Processes ...
  - B.1.5 #1 (1:10)
  - B.1.5 #2 (3:23)
  - B.1.5 #3 (2:25)
  - B.1.5 #4 (2:36)
  - B.1.5 #5 (2:15)
  - B.1.5 #6 (3:35)
  - B.1.5 #7 (2:32)
  - B.1.5 #8 (3:48)
  - B.1.5 #9 (4:27)
  - B.1.5 #10 (5:04)
  - B.1.5 #11 (1:49)
  - B.1.5 #12 (3:31)
- B.1.6 Compound Poisson Processes ...
  - B.1.6 #1 (1:49)
  - B.1.6 #2 (2:29)
  - B.1.6 #3 (2:36)
  - B.1.6 #4 (5:43)
  - B.1.6 #5 (7:33)
  - B.1.6 #6 (3:35)
  - B.1.6 #7 (4:20)
  - B.1.6 #8 (2:46)
  - B.1.6 #9 (2:24)
  - B.1.6 #10 (2:10)
  - B.1.6 #11 (4:09)
  - B.1.6 #12 (6:44)
  - B.1.6 #13 (4:54)
  - B.1.6 #14 (6:15)
  - B.1.6 #15 (3:58)
  - B.1.6 #16 (2:00)
  - B.1.6 #17 (2:05)
  - B.1.6 #18 (5:45)
  - B.1.6 #19 (4:36)
B.2 Continuous Multiple Lives/Decrements ... lessons ... min of video
- B.2.1 Hazard Rate ...
  - B.2.1 #1 (1:10)
  - B.2.1 #2 (1:25)
  - B.2.1 #3 (3:56)
  - B.2.1 #4 (0:39)
  - B.2.1 #5 (2:37)
  - B.2.1 #6 (2:13)
  - B.2.1 #7 (2:56)
  - B.2.1 #8 (4:59)
  - B.2.1 #9 (4:58)
  - B.2.1 #10 (1:26)
  - B.2.1 #11 (1:50)
  - B.2.1 #12 (4:27)
  - B.2.1 #13 (4:35)
  - B.2.1 #14 (4:09)
  - B.2.1 #15 (3:24)
  - B.2.1 #16 (9:10)
  - B.2.1 #17 (4:34)
  - B.2.1 #18 (2:29)
- B.2.2 Joint-Life Status ...
  - B.2.2 #1 (4:31)
  - B.2.2 #2 (1:56)
  - B.2.2 #3 (4:00)
  - B.2.2 #4 (1:13)
  - B.2.2 #5 (6:14)
  - B.2.2 #6 (6:46)
  - B.2.2 #7 (3:42)
  - B.2.2 #8 (1:49)
  - B.2.2 #9 (3:45)
  - B.2.2 #10 (3:46)
  - B.2.2 #11 (5:35)
- B.2.3 Last-Survivor Status ...
  - B.2.3 #1 (2:07)
  - B.2.3 #2 (1:56)
  - B.2.3 #3 (3:09)
  - B.2.3 #4 (3:00)
  - B.2.3 #5 (4:33)
  - B.2.3 #6 (1:47)
  - B.2.3 #7 (1:06)
  - B.2.3 #8 (5:48)
  - B.2.3 #9 (6:45)
  - B.2.3 #10 (3:48)
  - B.2.3 #11 (3:41)
  - B.2.3 #12 (5:51)
  - B.2.3 #13 (3:55)
- B.2.4 Multiple Decrements ...
  - B.2.4 #1 (1:25)
  - B.2.4 #2 (2:54)
  - B.2.4 #3 (3:12)
  - B.2.4 #4 (4:49)
  - B.2.4 #5 (2:06)
  - B.2.4 #6 (4:29)
  - B.2.4 #7 (3:57)
  - B.2.4 #8 (5:57)
  - B.2.4 #9 (1:40)
  - B.2.4 #10 (2:25)
- B.2.5 Multi-Component Joint-Life and Last-Survivor ...
  - B.2.5 #1 (2:02)
  - B.2.5 #2 (3:14)
  - B.2.5 #3 (0:48)
  - B.2.5 #4 (1:52)
  - B.2.5 #5 (2:29)
  - B.2.5 #6 (3:05)
  - B.2.5 #7 (1:57)
  - B.2.5 #8 (2:12)
  - B.2.5 #9 (1:27)
  - B.2.5 #10 (1:57)
  - B.2.5 #11 (2:50)
- B.2.6 The Bridge System ...
  - B.2.6 #1 (1:58)
  - B.2.6 #2 (1:10)
  - B.2.6 #3 (6:05)
  - B.2.6 #4 (1:45)
  - B.2.6 #5 (3:52)
  - B.2.6 #6 (2:59)
- B.2.7 The k out of n system ...
  - B.2.7 #1 (0:26)
  - B.2.7 #2 (1:40)
  - B.2.7 #3 (4:05)
  - B.2.7 #4 (6:22)
  - B.2.7 #5 (7:19)
- B.2.8 The Random Graph ...
  - B.2.8 #1 (0:43)
  - B.2.8 #2 (1:29)
  - B.2.8 #3 (3:31)
  - B.2.8 #4 (1:05)
  - B.2.8 #5 (1:11)
  - B.2.8 #6 (2:36)
  - B.2.8 #7 (2:53)
  - B.2.8 #8 (2:37)
  - B.2.8 #9 (2:40)
  - B.2.8 #10 (0:45)
- B.2.9 Expected Lifetimes ...
  - B.2.9 #1 (1:30)
  - B.2.9 #2 (2:47)
  - B.2.9 #3 (3:13)
  - B.2.9 #4 (2:30)
  - B.2.9 #5 (2:38)
  - B.2.9 #6 (4:08)
  - B.2.9 #7 (2:49)
  - B.2.9 #8 (8:33)
B.3 Markov Chains ... lessons ... min of video
- B.3.1 Discrete Markov Chains ...
  - B.3.1 #1 (3:54)
  - B.3.1 #2 (3:32)
  - B.3.1 #3 (3:22)
  - B.3.1 #4 (3:13)
  - B.3.1 #5 (2:23)
  - B.3.1 #6 (3:59)
  - B.3.1 #7 (7:18)
  - B.3.1 #8 (4:34)
  - B.3.1 #9 (2:35)
  - B.3.1 #10 (3:11)
  - B.3.1 #11 (4:44)
  - B.3.1 #12 (1:41)
  - B.3.1 #13 (4:48)
  - B.3.1 #14 (2:47)
  - B.3.1 #15 (3:07)
  - B.3.1 #16 (6:14)
  - B.3.1 #17 (7:54)
  - B.3.1 #18 (7:41)
  - B.3.1 #19 (0:57)
  - B.3.1 #20 (7:31)
  - B.3.1 #21 (5:58)
  - B.3.1 #22 (1:55)
- B.3.2 Classification of States ...
  - B.3.2 #1 (1:23)
  - B.3.2 #2 (1:56)
  - B.3.2 #3 (2:55)
  - B.3.2 #4 (2:14)
  - B.3.2 #5 (2:51)
  - B.3.2 #6 (2:16)
  - B.3.2 #7 (3:23)
  - B.3.2 #8 (4:10)
  - B.3.2 #9 (2:24)
  - B.3.2 #10 (2:32)
- B.3.3 Long Run Behavior ...
  - B.3.3 #1 (2:58)
  - B.3.3 #2 (3:30)
  - B.3.3 #3 (5:48)
  - B.3.3 #4 (2:08)
  - B.3.3 #5 (1:50)
  - B.3.3 #6 (4:44)
  - B.3.3 #7 (5:11)
  - B.3.3 #8 (2:11)
  - B.3.3 #9 (5:36)
  - B.3.3 #10 (8:55)
- B.3.4 Applications 1 ...
  - B.3.4 #1 (0:41)
  - B.3.4 #2 (1:43)
  - B.3.4 #3 (1:11)
  - B.3.4 #4 (1:37)
  - B.3.4 #5 (1:32)
  - B.3.4 #6 (3:05)
  - B.3.4 #7 (7:20)
  - B.3.4 #8 (6:28)
  - B.3.4 #9 (2:08)
  - B.3.4 #10 (2:21)
- B.3.5 Applications 2: Branching Processes ...
  - B.3.5 #1 (1:27)
  - B.3.5 #2 (1:38)
  - B.3.5 #3 (1:30)
  - B.3.5 #4 (4:37)
  - B.3.5 #5 (1:52)
  - B.3.5 #6 (3:10)
  - B.3.5 #7 (1:17)
  - B.3.5 #8 (3:55)
  - B.3.5 #9 (9:00)
  - B.3.5 #10 (0:41)
B.4 Life Contingencies ... lessons ... min of video
- B.4.1 Life Tables and the ILT ...
  - B.4.1 #1 (1:12)
  - B.4.1 #2 (2:05)
  - B.4.1 #3 (1:24)
  - B.4.1 #4 (1:38)
  - B.4.1 #5 (3:02)
  - B.4.1 #6 (1:40)
  - B.4.1 #7 (1:58)
  - B.4.1 #8 (7:56)
  - B.4.1 #9 (5:09)
  - B.4.1 #10 (7:43)
  - B.4.1 #11 (4:18)
- B.4.2 Future Lifetime Moments - Discrete Case ...
  - B.4.2 #1 (3:08)
  - B.4.2 #2 (2:51)
- B.4.3 Life Contingent Cash Flows ...
  - B.4.3 #1 (2:17)
  - B.4.3 #2 (2:15)
  - B.4.3 #3 (4:20)
  - B.4.3 #4 (5:49)
  - B.4.3 #5 (6:18)
  - B.4.3 #6 (6:46)
  - B.4.3 #7 (7:58)
  - B.4.3 #8 (8:34)
  - B.4.3 #9 (5:22)
  - B.4.3 #10 (3:18)
- B.4.4 Whole Life Insurance ...
  - B.4.4 #1 (2:08)
  - B.4.4 #2 (4:10)
  - B.4.4 #3 (5:06)
  - B.4.4 #4 (4:52)
  - B.4.4 #5 (3:27)
- B.4.5 Whole Life Annuities ...
  - B.4.5 #1 (4:13)
  - B.4.5 #2 (2:22)
  - B.4.5 #3 (2:16)
  - B.4.5 #4 (1:43)
  - B.4.5 #5 (6:44)
  - B.4.5 #6 (6:23)
  - B.4.5 #7 (3:59)
- B.4.6 Term Insurance ...
  - B.4.6 #1 (3:15)
  - B.4.6 #2 (3:13)
  - B.4.6 #3 (5:27)
  - B.4.6 #4 (3:28)
- B.4.7 Endowment Insurance and Temporary Annuities ...
  - B.4.7 #1 (2:30)
  - B.4.7 #2 (2:54)
  - B.4.7 #3 (0:49)
  - B.4.7 #4 (4:25)
  - B.4.7 #5 (0:56)
  - B.4.7 #6 (1:15)
  - B.4.7 #7 (3:15)
  - B.4.7 #8 (4:23)
  - B.4.7 #9 (2:19)
  - B.4.7 #10 (2:50)
  - B.4.7 #11 (1:51)
  - B.4.7 #12 (7:43)
  - B.4.7 #13 (2:08)
  - B.4.7 #14 (2:12)
- B.4.8 Level Annual Premiums ...
  - B.4.8 #1 (3:32)
  - B.4.8 #2 (6:11)
  - B.4.8 #3 (6:53)
  - B.4.8 #4 (5:18)
  - B.4.8 #5 (4:41)
  - B.4.8 #6 (2:24)
  - B.4.8 #7 (5:19)
  - B.4.8 #8 (2:31)
  - B.4.8 #9 (3:25)
  - B.4.8 #10 (2:34)
  - B.4.8 #11 (6:47)
  - B.4.8 #12 (5:11)
  - B.4.8 #13 (3:15)
  - B.4.8 #14 (5:09)
- B.4.9 Joint-Life and Last-Survivor Status ...
  - B.4.9 #1 (3:43)
  - B.4.9 #2 (6:01)
  - B.4.9 #3 (6:58)
  - B.4.9 #4 (2:44)
  - B.4.9 #5 (5:05)
  - B.4.9 #6 (8:57)
  - B.4.9 #7 (4:10)
  - B.4.9 #8 (6:25)
  - B.4.9 #9 (2:04)
  - B.4.9 #10 (1:48)
  - B.4.9 #11 (1:06)
  - B.4.9 #12 (2:27)
  - B.4.9 #13 (3:50)
- B.4.10 Fractional Ages, Adjusted Mortality ...
  - B.4.10 #1 (2:37)
  - B.4.10 #2 (2:06)
  - B.4.10 #3 (3:42)
  - B.4.10 #4 (3:46)
  - B.4.10 #5 (5:05)
  - B.4.10 #6 (5:52)
  - B.4.10 #7 (4:02)
  - B.4.10 #8 (5:37)
  - B.4.10 #9 (2:14)
  - B.4.10 #10 (2:56)
  - B.4.10 #11 (3:52)
- B.4.11 Multiple Decrement Table ...
  - B.4.11 #1 (2:09)
  - B.4.11 #2 (2:16)
  - B.4.11 #3 (1:26)
  - B.4.11 #4 (1:36)
  - B.4.11 #5 (5:03)
  - B.4.11 #6 (2:28)
  - B.4.11 #7 (3:17)
  - B.4.11 #8 (2:53)
  - B.4.11 #9 (3:02)
  - B.4.11 #10 (3:39)
  - B.4.11 #11 (1:18)
  - B.4.11 #12 (2:13)
  - B.4.11 #13 (5:32)
  - B.4.11 #14 (3:36)
  - B.4.11 #15 (3:20)
  - B.4.11 #16 (2:41)
  - B.4.11 #17 (2:21)
  - B.4.11 #18 (2:58)
  - B.4.11 #19 (3:44)
  - B.4.11 #20 (3:15)
B.5 Simulation 0 lessons 0 min of video
C.1 Parameter Estimation ... lessons ... min of video
- C.1.1 Estimator Basics ...
  - C.1.1 #1 (3:56)
  - C.1.1 #2 (3:14)
- C.1.2 Comparing Estimators: Mean and Variance ...
  - C.1.2 #1 (0:50)
  - C.1.2 #2 (1:37)
  - C.1.2 #3 (2:59)
  - C.1.2 #4 (1:12)
  - C.1.2 #5 (2:25)
  - C.1.2 #6 (1:23)
  - C.1.2 #7 (2:37)
  - C.1.2 #8 (2:42)
  - C.1.2 #9 (4:38)
  - C.1.2 #10 (1:31)
  - C.1.2 #11 (1:03)
  - C.1.2 #12 (8:03)
  - C.1.2 #13 (2:07)
  - C.1.2 #14 (1:17)
  - C.1.2 #15 (0:48)
- C.1.3 Comparing Estimators: Likelihood and Sufficiency ...
  - C.1.3 #1 (3:59)
  - C.1.3 #2 (2:13)
  - C.1.3 #3 (1:02)
  - C.1.3 #4 (2:27)
  - C.1.3 #5 (5:10)
  - C.1.3 #6 (4:40)
  - C.1.3 #7 (1:30)
  - C.1.3 #8 (0:50)
- C.1.4 The Maximum Likelihood Estimator ...
  - C.1.4 #1 (2:37)
  - C.1.4 #2 (0:48)
  - C.1.4 #3 (2:21)
  - C.1.4 #4 (1:51)
  - C.1.4 #5 (2:36)
  - C.1.4 #6 (2:20)
  - C.1.4 #7 (4:35)
  - C.1.4 #8 (4:23)
  - C.1.4 #9 (3:16)
  - C.1.4 #10 (3:21)
  - C.1.4 #11 (1:02)
  - C.1.4 #12 (3:05)
  - C.1.4 #13 (1:23)
  - C.1.4 #14 (2:04)
  - C.1.4 #15 (1:50)
  - C.1.4 #16 (3:53)
  - C.1.4 #17 (3:38)
  - C.1.4 #18 (2:10)
  - C.1.4 #19 (2:22)
  - C.1.4 #20 (5:12)
  - C.1.4 #21 (6:54)
  - C.1.4 #22 (2:26)
  - C.1.4 #23 (3:32)
  - C.1.4 #24 (1:55)
  - C.1.4 #25 (2:53)
  - C.1.4 #26 (7:11)
  - C.1.4 #27 (2:28)
- C.1.5 Advanced Likelihood Functions ...
  - C.1.5 #1 (6:49)
  - C.1.5 #2 (5:28)
  - C.1.5 #3 (1:32)
  - C.1.5 #4 (1:39)
  - C.1.5 #5 (2:17)
  - C.1.5 #6 (1:53)
  - C.1.5 #7 (4:16)
  - C.1.5 #8 (1:16)
  - C.1.5 #9 (1:53)
  - C.1.5 #10 (3:28)
  - C.1.5 #11 (3:03)
  - C.1.5 #12 (4:47)
  - C.1.5 #13 (2:40)
  - C.1.5 #14 (5:00)
  - C.1.5 #15 (3:21)
  - C.1.5 #16 (2:31)
- C.1.6 Variance of MLE ...
  - C.1.6 #1 (2:12)
  - C.1.6 #2 (1:51)
  - C.1.6 #3 (4:36)
  - C.1.6 #4 (0:43)
  - C.1.6 #5 (2:36)
  - C.1.6 #6 (5:54)
  - C.1.6 #7 (4:13)
  - C.1.6 #8 (3:10)
  - C.1.6 #9 (5:01)
  - C.1.6 #10 (4:12)
- C.1.7 Exponential Family ...
  - C.1.7 #1 (2:54)
  - C.1.7 #2 (3:03)
  - C.1.7 #3 (2:13)
  - C.1.7 #4 (2:34)
  - C.1.7 #5 (3:11)
  - C.1.7 #6 (2:19)
  - C.1.7 #7 (5:57)
  - C.1.7 #8 (1:22)
  - C.1.7 #9 (2:22)
  - C.1.7 #10 (3:56)
  - C.1.7 #11 (2:05)
  - C.1.7 #12 (3:03)
  - C.1.7 #13 (1:30)
  - C.1.7 #14 (1:39)
  - C.1.7 #15 (3:54)
C.2 Hypothesis Testing ... lessons ... min of video
- C.2.1 Hypothesis Testing ...
  - C.2.1 #1 (3:45)
  - C.2.1 #2 (7:03)
  - C.2.1 #3 (1:39)
  - C.2.1 #4 (2:19)
  - C.2.1 #5 (2:34)
  - C.2.1 #6 (4:10)
  - C.2.1 #7 (2:44)
- C.2.2 Tests for the mean: ``Known'' variance ...
  - C.2.2 #1 (1:50)
  - C.2.2 #2 (2:28)
  - C.2.2 #3 (4:12)
  - C.2.2 #4 (2:51)
  - C.2.2 #5 (7:22)
  - C.2.2 #6 (6:28)
  - C.2.2 #7 (7:18)
  - C.2.2 #8 (4:51)
  - C.2.2 #9 (2:09)
  - C.2.2 #10 (1:43)
  - C.2.2 #11 (0:50)
  - C.2.2 #12 (1:14)
  - C.2.2 #13 (0:58)
  - C.2.2 #14 (2:06)
  - C.2.2 #15 (3:43)
  - C.2.2 #16 (11:15)
  - C.2.2 #17 (3:55)
  - C.2.2 #18 (4:07)
  - C.2.2 #19 (4:44)
  - C.2.2 #20 (4:24)
- C.2.3 Tests for the mean: ``Unknown'' Variance ...
  - C.2.3 #1 (2:10)
  - C.2.3 #2 (3:33)
  - C.2.3 #3 (2:42)
  - C.2.3 #4 (2:01)
  - C.2.3 #5 (2:36)
  - C.2.3 #6 (1:29)
  - C.2.3 #7 (3:08)
  - C.2.3 #8 (1:51)
  - C.2.3 #9 (2:54)
  - C.2.3 #10 (2:20)
  - C.2.3 #11 (4:17)
- C.2.4 Comparing Populations ...
  - C.2.4 #1 (2:59)
  - C.2.4 #2 (3:03)
  - C.2.4 #3 (0:59)
  - C.2.4 #4 (4:37)
  - C.2.4 #5 (3:04)
  - C.2.4 #6 (2:00)
  - C.2.4 #7 (2:45)
  - C.2.4 #8 (2:32)
  - C.2.4 #9 (5:02)
  - C.2.4 #10 (3:43)
  - C.2.4 #11 (4:33)
  - C.2.4 #12 (3:53)
  - C.2.4 #13 (5:41)
  - C.2.4 #14 (3:09)
- C.2.5 Tests for Variance ...
  - C.2.5 #5 (2:55)
  - C.2.5 #2 (2:59)
  - C.2.5 #3 (2:08)
  - C.2.5 #4 (3:34)
  - C.2.5 #5 (3:19)
  - C.2.5 #6 (1:51)
  - C.2.5 #7 (0:52)
  - C.2.5 #8 (1:15)
  - C.2.5 #9 (1:20)
  - C.2.5 #10 (1:59)
  - C.2.5 #11 (2:32)
  - C.2.5 #12 (1:13)
- C.2.6 Confidence Intervals ...
  - C.2.6 #1 (1:41)
  - C.2.6 #2 (2:14)
  - C.2.6 #3 (1:52)
  - C.2.6 #4 (1:38)
  - C.2.6 #5 (1:31)
  - C.2.6 #6 (2:46)
  - C.2.6 #7 (5:24)
  - C.2.6 #8 (2:05)
  - C.2.6 #9 (1:55)
  - C.2.6 #10 (3:03)
  - C.2.6 #11 (6:17)
  - C.2.6 #12 (7:25)
  - C.2.6 #13 (4:40)
- C.2.7 Other Chi-Square Tests ...
  - C.2.7 #1 (0:27)
  - C.2.7 #2 (1:36)
  - C.2.7 #3 (2:11)
  - C.2.7 #4 (0:59)
  - C.2.7 #5 (1:29)
  - C.2.7 #6 (5:28)
  - C.2.7 #7 (3:33)
  - C.2.7 #8 (4:02)
  - C.2.7 #9 (1:00)
  - C.2.7 #10 (2:41)
  - C.2.7 #11 (3:31)
  - C.2.7 #12 (5:13)
  - C.2.7 #13 (3:40)
  - C.2.7 #14 (6:18)
  - C.2.7 #15 (2:30)
- C.2.8 Likelihood Ratio Test ...
  - C.2.8 #1 (2:37)
  - C.2.8 #2 (2:57)
  - C.2.8 #3 (4:25)
  - C.2.8 #4 (4:42)
  - C.2.8 #5 (8:53)
  - C.2.8 #6 (8:20)
  - C.2.8 #7 (4:04)
  - C.2.8 #8 (6:59)
  - C.2.8 #9 (4:57)
  - C.2.8 #10 (4:31)
  - C.2.8 #11 (2:47)
  - C.2.8 #12 (6:07)
  - C.2.8 #13 (2:52)
  - C.2.8 #14 (2:16)
  - C.2.8 #15 (6:50)
  - C.2.8 #16 (11:38)
- C.2.9 Kolmogorov-Smirnov Test ...
  - C.2.9 #1 (3:29)
  - C.2.9 #2 (0:50)
  - C.2.9 #3 (3:25)
  - C.2.9 #4 (3:26)
  - C.2.9 #5 (3:09)
  - C.2.9 #6 (4:16)
C.3 Order Statistics ... lessons ... min of video
- C.3.1 Order Statistics ...
  - C.3.1 #1 (1:18)
  - C.3.1 #2 (2:16)
  - C.3.1 #3 (3:06)
  - C.3.1 #4 (1:29)
  - C.3.1 #5 (3:28)
  - C.3.1 #6 (2:21)
  - C.3.1 #7 (3:23)
  - C.3.1 #8 (4:52)
  - C.3.1 #9 (1:53)
  - C.3.1 #10 (1:32)
  - C.3.1 #11 (1:58)
  - C.3.1 #12 (3:23)
- C.3.2 Uniform and Exponential Order Stats ...
  - C.3.2 #1 (2:27)
  - C.3.2 #2 (2:18)
  - C.3.2 #3 (2:39)
  - C.3.2 #4 (13:20)
  - C.3.2 #5 (2:46)
  - C.3.2 #6 (7:51)
  - C.3.2 #7 (4:01)
  - C.3.2 #8 (4:50)
  - C.3.2 #9 (9:15)
  - C.3.2 #10 (0:59)
  - C.3.2 #11 (2:12)
  - C.3.2 #12 (0:47)
  - C.3.2 #13 (9:20)
  - C.3.2 #14 (3:27)
  - C.3.2 #15 (5:45)
  - C.3.2 #16 (1:45)
  - C.3.2 #17 (4:43)
  - C.3.2 #18 (3:16)
  - C.3.2 #19 (2:02)
  - C.3.2 #20 (4:14)
  - C.3.2 #21 (2:28)
  - C.3.2 #22 (2:29)
  - C.3.2 #23 (2:29)
  - C.3.2 #24 (1:59)
  - C.3.2 #25 (2:06)
  - C.3.2 #26 (1:58)
D.1 Classical Linear Models ... lessons ... min of video
- D.1.1 Single Variable Linear Regression ...
  - D.1.1 #1 (1:51)
  - D.1.1 #2 (2:14)
  - D.1.1 #3 (1:27)
  - D.1.1 #4 (2:37)
  - D.1.1 #5 (2:17)
- D.1.2 Multivariable Linear Regression ...
  - D.1.2 #1 (1:50)
  - D.1.2 #2 (2:36)
  - D.1.2 #3 (5:59)
- D.1.3 Categorical Variables ...
  - D.1.3 #1 (1:47)
  - D.1.3 #2 (0:47)
  - D.1.3 #3 (0:51)
- D.1.4 General Linear Models ...
  - D.1.4 #1 (0:55)
  - D.1.4 #2 (1:46)
  - D.1.4 #3 (1:37)
  - D.1.4 #4 (1:54)
  - D.1.4 #5 (2:57)
  - D.1.4 #6 (3:25)
  - D.1.4 #7 (6:18)
  - D.1.4 #8 (6:03)
  - D.1.4 #9 (1:28)
  - D.1.4 #10 (1:04)
D.2 Generalized Linear Models ... lessons ... min of video
- D.2.2 Exponential Families, Redux ...
  - D.2.2 #1 (2:22)
  - D.2.2 #2 (3:17)
  - D.2.2 #3 (2:37)
  - D.2.2 #4 (2:18)
  - D.2.2 #5 (1:50)
  - D.2.2 #6 (3:53)
  - D.2.2 #7 (5:35)
  - D.2.2 #8 (4:25)
  - D.2.2 #9 (3:04)
  - D.2.2 #10 (3:24)
  - D.2.2 #11 (1:40)
  - D.2.2 #12 (2:08)
  - D.2.2 #13 (3:58)
  - D.2.2 #14 (2:22)
- D.2.3 Continuous Response Distributions ...
  - D.2.3 #1 (1:17)
  - D.2.3 #2 (2:49)
  - D.2.3 #3 (2:23)
  - D.2.3 #4 (2:24)
  - D.2.3 #5 (2:00)
  - D.2.3 #6 (1:47)
  - D.2.3 #7 (4:04)
- D.2.4 Categorical Response: Binary ...
  - D.2.4 #1 (2:37)
  - D.2.4 #2 (2:05)
  - D.2.4 #3 (2:38)
  - D.2.4 #4 (2:54)
  - D.2.4 #5 (4:33)
- D.2.5 Categorical Response: Multinomial ...
  - D.2.5 #1 (3:18)
  - D.2.5 #2 (2:47)
- D.2.6 Categorical Response: Count Data ...
  - D.2.6 #1 (0:47)
  - D.2.6 #2 (2:09)
  - D.2.6 #3 (1:44)
  - D.2.6 #4 (1:24)
  - D.2.6 #5 (3:24)
  - D.2.6 #6 (2:11)
D.3 Model Testing and Estimation ... lessons ... min of video
- D.3.1 Score Statistic ...
  - D.3.1 #1 (1:56)
  - D.3.1 #2 (1:55)
  - D.3.1 #3 (2:47)
  - D.3.1 #4 (1:46)
  - D.3.1 #5 (3:39)
  - D.3.1 #6 (2:21)
- D.3.2 Wald Statistic ...
  - D.3.2 #1 (1:36)
  - D.3.2 #2 (2:13)
  - D.3.2 #3 (3:56)
- D.3.3 Likelihood Ratio Statistic: Deviance ...
  - D.3.3 #1 (1:57)
  - D.3.3 #2 (0:52)
  - D.3.3 #3 (4:48)
  - D.3.3 #4 (3:26)
- D.3.4 Model Estimation ...
  - D.3.4 #1 (1:58)
  - D.3.4 #2 (1:52)
  - D.3.4 #3 (1:42)
  - D.3.4 #4 (2:35)
  - D.3.4 #5 (5:38)
  - D.3.4 #6 (5:26)
  - D.3.4 #7 (4:51)
- D.3.5 Testing with the Wald Statistic ...
  - D.3.5 #1 (1:52)
  - D.3.5 #2 (2:29)
  - D.3.5 #3 (6:35)
  - D.3.5 #4 (1:18)
  - D.3.5 #5 (2:26)
  - D.3.5 #6 (3:06)
  - D.3.5 #7 (2:23)
  - D.3.5 #8 (3:22)
  - D.3.5 #9 (0:49)
- D.3.6 Testing with Deviance ...
  - D.3.6 #1 (1:02)
  - D.3.6 #2 (2:12)
  - D.3.6 #3 (2:33)
  - D.3.6 #4 (3:21)
- D.3.7 Testing General Linear Models ...
  - D.3.7 #8 (4:36)
  - D.3.7 #9 (4:36)
  - D.3.7 #13 (6:09)
D.4 Model Evaluation ... lessons ... min of video
- D.4.1 Residuals ...
  - D.4.1 #4 (1:30)
- D.4.2 Evaluating Fit Using Residuals ...
  - D.4.2 #1 (1:22)
  - D.4.2 #3 (2:05)
- D.4.3 Goodness of Fit Statistics ...
  - D.4.3 #1 (2:04)
  - D.4.3 #3 (0:35)
  - D.4.3 #5 (2:10)
  - D.4.3 #6 (2:20)
  - D.4.3 #7 (2:56)
  - D.4.3 #10 (3:00)
D.5 Model Selection and Regularization ... lessons ... min of video
- D.5.1 Subset Selection ...
  - D.5.1 #1 (0:20)
  - D.5.1 #5 (2:25)
  - D.5.1 #7 (0:25)
  - D.5.1 #9 (0:20)
- D.5.2 High-Dimensional Models ...
  - D.5.2 #1 (1:13)
  - D.5.2 #2 (1:25)
D.6 Generalized Additive Models 0 lessons 0 min of video
D.7 Modeling with R ... lessons ... min of video
- D.7.1 Continuous Response ...
  - D.7.1 #1 (1:27)
  - D.7.1 #2 (1:53)
  - D.7.1 #3 (0:36)
- D.7.2 Categorical Response ...
  - D.7.2 #1 (2:52)
  - D.7.2 #2 (2:03)
  - D.7.2 #3 (2:06)
  - D.7.2 #4 (2:51)
- D.7.3 Count Data ...
  - D.7.3 #1 (1:45)
  - D.7.3 #2 (2:06)
  - D.7.3 #3 (3:08)
  - D.7.3 #4 (1:42)
  - D.7.3 #5 (1:55)
  - D.7.3 #6 (1:44)
E.1 Time Series Basics ... lessons ... min of video
- E.1.1 Time Series ...
  - E.1.1 #1 (0:18)
  - E.1.1 #2 (1:22)
- E.1.2 Decomposition ...
  - E.1.2. #1 (2:45)
  - E.1.2 #2 (3:43)
  - E.1.2 #3 (3:55)
  - E.1.2 #4 (2:44)
  - E.1.2 #5 (3:08)
  - E.1.2 #6 (3:30)
  - E.1.2 #7 (5:30)
  - E.1.2 #8 (2:43)
  - E.1.2 #9 (6:54)
  - E.1.2 #10 (4:59)
- E.1.3 Correlation ...
  - E.1.3 #1 (0:50)
  - E.1.3 #2 (3:57)
  - E.1.3 #3 (2:52)
  - E.1.3 #4 (4:28)
  - E.1.3 #5 (1:57)
- E.1.4 Cross-Correlation ...
  - E.1.4 #1 (1:38)
  - E.1.4 #2 (2:39)
  - E.1.4 #3 (2:23)
  - E.1.4 #4 (4:44)
  - E.1.4 #5 (2:05)
E.2 Time Series Models ... lessons ... min of video
- E.2.1 Random Walks ...
  - E.2.1 #1 (1:01)
  - E.2.1 #2 (1:58)
  - E.2.1 #3 (0:47)
  - E.2.1 #4 (2:28)
  - E.2.1 #6 (1:37)
  - E.2.1 #7 (10:17)
- E.2.2 Autoregressive Models ...
  - E.2.2 #1 (4:06)
  - E.2.2 #2 (5:50)
  - E.2.2 #3 (3:41)
  - E.2.2 #4 (2:15)
  - E.2.2 #5 (0:16)
  - E.2.2 #6 (1:04)
  - E.2.2 #7 (1:19)
  - E.2.2 #8 (5:19)
  - E.2.2 #9 (1:31)
  - E.2.2 #10 (1:40)
  - E.2.2 #11 (3:16)
  - E.2.2 #12 (2:31)
  - E.2.2 #13 (1:50)
  - E.2.2 #14 (4:53)
- E.2.3 Moving Average Models ...
  - E.2.3 #1 (2:09)
  - E.2.3 #2 (2:58)
  - E.2.3 #3 (3:44)
  - E.2.3 #4 (0:45)
  - E.2.3 #5 (1:20)
  - E.2.3 #6 (2:31)
  - E.2.3 #7 (1:37)
  - E.2.3 #8 (4:24)
  - E.2.3 #9 (5:26)
  - E.2.3 #10 (0:39)
  - E.2.3 #11 (11:49)
  - E.2.3 #12 (3:42)
  - E.2.3 #13 (4:11)
  - E.2.3 #14 (4:26)
- E.2.4 ARMA Models ...
  - E.2.4 #1 (0:41)
  - E.2.4 #2 (1:48)
  - E.2.4 #3 (3:40)
  - E.2.4 #4 (1:42)
  - E.2.4 #5 (3:15)
  - E.2.4 #6 (2:29)
  - E.2.4 #7 (1:51)
  - E.2.4 #8 (2:06)
  - E.2.4 #9 (2:16)
  - E.2.4 #10 (1:41)
  - E.2.4 #11 (1:42)
  - E.2.4 #12 (4:27)
  - E.2.4 #13 (4:57)
  - E.2.4#14 (3:24)
- E.2.5 Non-seasonal ARIMA Models ...
  - E.2.5 #1 (1:23)
  - E.2.5 #2 (5:30)
  - E.2.5 #3 (3:23)
  - E.2.5 #4 (4:05)
  - E.2.5 #5 (1:48)
  - E.2.5 #6 (3:43)
  - E.2.5 #7 (4:01)
- E.2.6 Seasonal ARIMA Models ...
  - E.2.6 #1 (3:59)
  - E.2.6 #2 (1:49)
  - E.2.6 #3 (2:45)
  - E.2.6 #5 (3:42)
  - E.2.6 #6 (4:48)
E.3 Time Series Regression ... lessons ... min of video
- E.3.1 Regression Modelling ...
  - E.3.1 #1 (1:31)
  - E.3.1 #2 (1:04)
- E.3.2 Seasonal Regression ...
  - E.3.2 #1 (1:27)
  - E.3.2 #2 (2:29)
- E.3.3 Logarithmic and Nonlinear Models ...
  - E.3.3 #1 (1:37)
  - E.3.3 #2 (1:18)

Watch Me First! ... lessons ... min of video
- Sample Exams Strategy (Updated for Fall 2018) ...
  - Sample Exam Strategy and Scheduling (17:48)
Sample Exam 1 ... lessons ... min of video
- Questions ...
  - Questions PDF (handout)
  - Answer Key PDF (handout)
  - Solutions PDF (handout)
  - Lesson Map (handout)
- Video Solutions ...
  - Sample exam 1 Problem #1 (2:34)
  - <

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Exam MAS-I