• Facets (new session)
• Description
• Metadata
• Settings
  • Rule: ActivityStreamsMapasEquivalentb3sb3sifpdbprdf-labelfacetshttp://dbpedia.org/resource/inference/rules/dbpedia#http://dbpedia.org/resource/inference/rules/opencyc#http://dbpedia.org/resource/inference/rules/umbel#http://dbpedia.org/resource/inference/rules/yago#http://dbpedia.org/schema/property_rules#http://www.ontologyportal.org/inference/rules/SUMO#http://www.ontologyportal.org/inference/rules/WordNet#http://www.w3.org/2002/07/owl#ldpoplwebskos-transurn:det:rdf:labelvirtrdf-labelvirtrdf-urlNone
    
  • Inverse Functional Properties: Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects
  • "Same As": Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects (recommended) Apply to subjects, objects and predicates (not recommended on big datasets) Apply to predicates only (special use cases only)

About: Degree-of-difference     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : owl:Thing, within Data Space : dbpedia.demo.openlinksw.com associated with source document(s)

Degree of Difference Testing, which is also known as DOD is a method to determine an overall difference among test and control groups when product in question has exhibited variability that would have caused because of multiple factors such as the production time, use of multiple components, preparation or others. It is one of the Discrimination methods.It was introduced by Aust, L. B., Gacula Jr., M. C., Beard, S. A., and Washam II, R.W. in the year 1985.As a method, DOD is used when other traditional methods that have a single control group fails and multiple control groups have to be introduced. Degree of Difference had hence replaced the traditional triangle test for products since those methods would give false results that were statistically significant in situations where the contro