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Statistics are generated and may be analysed in many parts of Source. This page provides information on the statistical functions available in Source including what they measure and how they're interpreted. For information on how to use statistics in Source, see the relevant section of the user guide.

Types in general, how they're used, 

link to optimisation

In Results Manager, statistics are User generated and auto generated

Locations

Where statistics are put in, created, may be analysed 

In Results Manager, statistics are categorised as either user or auto generated. 

Univariate and Bivariate Statistics

Univariate statistics provide information on single ......

Bivariate statistics .....

See Calibration analysis - SRG/wiki/spaces/TIME/pages/56721988

Nash Sutcliffe Coefficient of Efficiency (NSE) 

NSE is.......

Log Daily, Daily, Monthly, 

What it measures

How it's interpreted

Relevant equations

Links to selected locations

sNSE-Bias penalty (Nash-Sutcliffe coefficient of efficiency with penalised bias solutions), daily and monthly variants 

What it measures

How it's interpreted

Relevant equations

Links to selected locations

Absolute bias

General

Pearson's Correlation

General

Flow duration and log flow duration

...

There are two main categories of statistics in Source:

  • Univariate statistics provide information on a single variable and are intended to summarise and reveal patterns in that variable, see Univariate Statistics SRG.
  • Bivariate statistics compare two variables for the purpose of determining empirical relationships between them, see Bivariate Statistics SRG.

Locations

Statistics are generated and may be analysed in many parts of Source: