MathIsimple

Time Series — Preprocessing Practice

Interactive multiple-choice practice. Select a category then choose a question to answer.

Concepts
1 questions
Question 1: Decomposition parts
Any time series after appropriate functional transform can be decomposed into which three additive parts?...
Beginner
Not attempted
Estimation
2 questions
Question 2: Seasonal index estimation
For period m, how to estimate seasonal component S_t?...
Beginner
Not attempted
Question 8: Seasonal index example
7 Jul values over 2 years: 12,14 (units). Seasonal index for July?...
Beginner
Not attempted
Smoothing
3 questions
Question 3: Simple exponential smoothing (equiv)
Which is the simple exponential smoothing equivalent formula?...
Beginner
Not attempted
Question 6: Simple exp smoothing — numeric
Given Jan=10, Feb=13, Mar=16, alpha=0.3, initial value = Jan, what's Mar smoothed (2 d.p.)?...
Beginner
Not attempted
Question 7: Holt trend example
Apr=25, May=30, Jun=35. Holt with init level=25, init trend=5, alpha=0.4, beta=0.2 — June trend?...
Intermediate
Not attempted
Transformations
2 questions
Question 4: Seasonal differencing
For monthly series with fixed seasonality, which differencing to extract seasonal info?...
Beginner
Not attempted
Question 9: First difference example
Monthly temps Jan-Apr: 3,6,11,16. March first diff?...
Beginner
Not attempted
Theory
1 questions
Question 5: Cramer decomposition theorem
Cramer decomposition states any series decomposes into which two parts?...
Intermediate
Not attempted
Regression
1 questions
Question 10: Residual calculation
Factory output 7,9,11,14. Fit ̃x_t = 5.2 + 1.8t, t=4 adjusted actual=12.6, residual?...
Intermediate
Not attempted