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data imputation
Ernesto Jardim edited this page Nov 14, 2017
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Missing data/short term forecast best practices, in particular regarding variance estimation. 3 different situations:
- time series not synchronized: catches in weight, length Freq of catches and surveys have different starting points;
- time series data hole,
- short term forecast.
| Criteria | Comments |
|---|---|
| Important for many stock assessment scientists? | |
| Standard papers that people cite for this topic? | |
| Another working group already working on this? | |
| How can this be structured into a journal paper? | |
| What kind of work is required, and how much work? | |
| Participants that would like to work on this? | |
| Who would like to lead, what will coauthors do? |