SamplingProcess

Is Abstract: 
no
Is Pattern: 
no
Definition: 

Provides the details of the process used to apply the sampling design and obtain the sample. Sampling Process contains a Workflow Step which provides the constituents of a Workflow. It can be a composition (a set of Control Constructs) or atomic (an Act) and may be performed by a service. This allows the use of existing Workflow models to express various sampling process actions. Sampling Frames and Sample Population can be used as designated Inputs or Outputs using Parameters.

Example: 
A Split which takes a sampling stage and divides the sample frame into different subsets. A different sampling technique is applied to each subset. Once a split occurs each subset can have stages underneath, and the number of states under each split subset may differ. A Stage is the application of a single sampling algorithm applied to a sampling frame. For instance, the US Current Population Survey samples geographic areas first before identifying household to contact within each of those areas. A Stratification of a stage into multiple subsets. Each stratified group will be sampled using the same sampling approach. For example stratifying a state by ZIP Code areas in each of 5 mean income quintiles and then doing a random sample of the households in a set of Zip Codes. Allows for oversampling of identified subpopulations.
Property: 
NameCardinalityDatatypeDescription
overview
0..1
Provides a high level overview or summary of the class. Can be used to inform end-users or as part of an executive summary. Supports the use of multiple languages and structured text.
Relationship: 
NameTarget ObjectDescriptionSource cardinalityTarget cardinalityRelationship type
isDiscussedIn
Description and link to external material discussing this Sampling Process
0..n
0..n
Neither
isSpecifiedBy
The Process Sequence which initiate the process flow and describes the sequence of the process flow
0..n
0..1
Neither
hasResults
Results of the Sampling Process. Restriction to SamplePopulation, a type of Result
0..n
0..n
Neither
realizes
Realizes the pattern Process
0..n
1..1
Neither
implementsAlgorithm
The sampling algorithm implanted by this sampling process. Constraint of the relationship implementsAlgorithm in Process pattern class by limiting the target to a SamplingAlgorithm
0..n
0..n
Neither

Stage:

Is extendable: 
Is property: 
0
RDF Mapping: