| Id |
Subject |
Object |
Predicate |
Lexical cue |
| T60 |
0-133 |
Sentence |
denotes |
We then use a parametric bootstrap approach to quantify uncertainty around the best-fit solution, assuming a Poisson error structure. |
| T61 |
134-240 |
Sentence |
denotes |
A detailed description of this method is provided in prior studies (Chowell, 2017; Roosa & Chowell, 2019). |
| T62 |
241-396 |
Sentence |
denotes |
The models are refitted to the M = 200 bootstrap datasets to obtain M parameter sets, which are used to define 95% confidence intervals for each parameter. |
| T63 |
397-539 |
Sentence |
denotes |
Each of the M model solutions to the bootstrap curves is used to generate m = 30 simulations extended through a forecasting period of 15 days. |
| T64 |
540-623 |
Sentence |
denotes |
These 6000 (M × m) curves construct the 95% prediction intervals for the forecasts. |
