Uncertainty

Defines the parameter values of an uncertainty distribution. Depending on the uncertainty distribution type different parameters could be used.

Properties

@type

Inherited from Entity.@type

• Type: string (external doc)
• Proto-Index: 1

distributionType

The uncertainty distribution type

• Type: UncertaintyType
• Proto-Index: 2

geomMean

The geometric mean value (used for log-normal distributions).

• Type: optional double (external doc)
• Proto-Index: 3

geomSd

The geometric standard deviation (used for log-normal distributions).

• Type: optional double (external doc)
• Proto-Index: 4

maximum

The maximum value (used for uniform and triangle distributions).

• Type: optional double (external doc)
• Proto-Index: 5

mean

The arithmetic mean (used for normal distributions).

• Type: optional double (external doc)
• Proto-Index: 6

minimum

The minimum value (used for uniform and triangle distributions).

• Type: optional double (external doc)
• Proto-Index: 7

mode

The most likely value (used for triangle distributions).

• Type: optional double (external doc)
• Proto-Index: 8

sd

The arithmetic standard deviation (used for normal distributions).

• Type: optional double (external doc)
• Proto-Index: 9

Python class stub

The snippet below shows the names of the properties of the corresponding Python class of the olca-schema package. Note that this is not the full class definition but just shows the names of the class and its properties.

@dataclass
class Uncertainty:
  distribution_type: UncertaintyType
  geom_mean: float
  geom_sd: float
  maximum: float
  mean: float
  minimum: float
  mode: float
  sd: float

JSON example

{
  "@type": "Uncertainty",
  "distributionType": "NORMAL_DISTRIBUTION",
  "mean": 10.4,
  "sd": 1
}