DimensionEngine

LogPearson(Observations, Recurrence_Interval, [Confidence_Limit], [Omit_Outliers], [Skew_Coefficient)

Returns estimated observed value for given recurrence interval using Log Pearson Type III distribution.

Input:       Observations = List of observations such as annual peak discharge (numbers)

                  Recurrence_Interval = Recurrence interval for which to estimate the observed value
                        (e.g., annual peak discharge) (number)

                  Confidence_Limit (optional) = Fractional probability for calculating upper and lower
                        confidence intervals (e.g. set equal to 0.95 for 95% confidence intervals).
                        This is required if Omit_Outliers or Skew_Coefficient is entered (number)

                  Omit_Outliers (optional) = Set equal to one to automatically omit outliers, zero not to omit.
                        Default is to omit outliers. This is required if Skew_Coefficient is entered (number)

                  Skew_Coefficient (optional - see below) = Skew coefficient for the distribution of
                        observed values. If omitted, this is estimated from the observed value (number)

Output:      Predicted observation for given recurrence interval calculated using the
                        Log Pearson Type III distribution. (number)