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Technical resources for implementing the measurement, reporting and verification arrangements under the Convention and the enhanced transparency framework under the Paris Agreement.
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Created at 15/06/2016 08:19 by Roberto Felix
Last modified at 20/12/2016 15:18 by Joseph Ndimu
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In step 1 of the Monte Carlo approach, which distribution would you use when it comes to combined variables, such as. i.e. tree dbh's that are either in forest or non-forest. Individually they may be normal, but their interaction may not be
Is it still good to use Monte Carlo approach when we have only one emission factor value? (the activity data are varied). Or is it more applicable for analysis involving more than one value of both EF & AD?
Do you have any documents/tutorials about Monte Carlo approach?
As most Software need to purchased, what is the most reliable software that we should choose? Excel is easier if available.
'R' is open source but we do not know programming. Is there any ready-made 'R' script or any suggestion to use 'R'?
Some are saying Monte Carlo Approach should use for Tier 2. Is that correct?
How should compilers’ prioritize use of the Monte Carlo approach? Start application of this approach with estimating uncertainty?
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