correlation groups for disaggregated risks and clarification of EP cu…

…rve methodology

src/sections/correlation.rst

@@ -537,22 +537,7 @@ With these settings, damage and hazard groups are the same, representing each ex
 
 OasisLMF 1.28 supports disaggregation of exposure locations when the **NumberOfBuildings** value is greater than 1. This means that one exposure location is split into multiple locations for the purposes of ground up loss sampling and financial module calculations.
 
-The default behaviour is that disaggregated risks will be fully correlated if not otherwise specified in model settings, ie correlation groups are defined as each original location.
-
-|
-
-.. _available_2.3_correlation:
-
-Available in OasisLMF 2.3
-##########################
-
-----
-
-**Correlation groups for disaggregated risks**
-
-OasisLMF 2.3 adds support for additional internal fields, **building_id** and **risk_id**, to be used in data_settings to control how disaggregated risks are correlated.
-
-The default behaviour is that disaggregated risks will be fully correlated if not otherwise specified in model settings, ie correlation groups are defined as each original location.
+The default behaviour is that disaggregated risks will be fully correlated for both hazard and damage if not otherwise specified in model settings using the internal Oasis fields **building_id** or **risk_id** in data settings.
 
 |
 

src/sections/results.rst

@@ -1011,7 +1011,7 @@ losses.
 In the Oasis kernel the methodology is Monte Carlo sampling from damage distributions, which results in several samples 
 (realisations) of an event loss for every event in the model's catalogue. The event losses are assigned to a year timeline 
 and the years are rank ordered by loss. The method of computing the percentiles is by taking the ratio of the frequency of 
-years with a loss exceeding a given threshold over the total number of years.
+years with a loss equal to or exceeding a given threshold over the total number of years.
 
 The OasisLMF approach gives rise to five variations of calculation of these statistics: