Annals of Applied Statistics
E833557
Annals of Applied Statistics is a peer-reviewed scholarly journal focusing on the development and application of statistical methods to real-world problems across diverse scientific fields.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Annals of Applied Statistics canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9986333 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annals of Applied Statistics Context triple: [Institute of Mathematical Statistics, hasJournal, Annals of Applied Statistics]
-
A.
Journal of the American Statistical Association
The Journal of the American Statistical Association is a leading peer-reviewed scholarly journal covering theoretical and applied statistics across a wide range of scientific disciplines.
-
B.
The American Statistician
The American Statistician is a peer-reviewed journal that features articles on statistical practice, theory, and education, published by the American Statistical Association.
-
C.
Journal of Business & Economic Statistics
The Journal of Business & Economic Statistics is a leading peer-reviewed academic journal focusing on the development and application of statistical methods in business, finance, and economics.
-
D.
INFORMS Journal on Applied Analytics
INFORMS Journal on Applied Analytics is a peer-reviewed academic journal that focuses on real-world applications of operations research and analytics to improve decision-making in business, government, and industry.
-
E.
Technometrics
Technometrics is a peer-reviewed journal focusing on the development and application of statistical methods in the physical, chemical, and engineering sciences.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Annals of Applied Statistics Target entity description: Annals of Applied Statistics is a peer-reviewed scholarly journal focusing on the development and application of statistical methods to real-world problems across diverse scientific fields.
-
A.
Journal of the American Statistical Association
The Journal of the American Statistical Association is a leading peer-reviewed scholarly journal covering theoretical and applied statistics across a wide range of scientific disciplines.
-
B.
The American Statistician
The American Statistician is a peer-reviewed journal that features articles on statistical practice, theory, and education, published by the American Statistical Association.
-
C.
Journal of Business & Economic Statistics
The Journal of Business & Economic Statistics is a leading peer-reviewed academic journal focusing on the development and application of statistical methods in business, finance, and economics.
-
D.
INFORMS Journal on Applied Analytics
INFORMS Journal on Applied Analytics is a peer-reviewed academic journal that focuses on real-world applications of operations research and analytics to improve decision-making in business, government, and industry.
-
E.
Technometrics
Technometrics is a peer-reviewed journal focusing on the development and application of statistical methods in the physical, chemical, and engineering sciences.
- F. None of above. chosen
Statements (39)
| Predicate | Object |
|---|---|
| instanceOf |
academic journal
ⓘ
statistics journal ⓘ |
| academicDiscipline |
applied statistics
ⓘ
statistics ⓘ |
| aimsTo |
bridge statistical theory and practice
ⓘ
promote rigorous statistical analysis in applied fields ⓘ |
| articleType |
papers with strong methodological components
ⓘ
substantive applied papers ⓘ |
| coversField |
biostatistics
ⓘ
economics ⓘ engineering ⓘ environmental statistics ⓘ life sciences ⓘ machine learning applications ⓘ physical sciences ⓘ social sciences ⓘ |
| emphasizes |
practical relevance of statistical methods
ⓘ
real data applications ⓘ |
| focusesOn |
application of statistical methods
ⓘ
development of statistical methods ⓘ real-world statistical problems ⓘ |
| hasFormat |
online
ⓘ
print ⓘ |
| hasScope | broad range of scientific disciplines ⓘ |
| isIntendedFor |
researchers applying statistics to substantive problems
ⓘ
researchers developing new statistical methods ⓘ |
| language | English ⓘ |
| publishes |
applied data analyses
ⓘ
case studies ⓘ methodological papers ⓘ original research articles ⓘ |
| publishesContentType |
applied statistical methodology
ⓘ
interdisciplinary statistical applications ⓘ |
| reviewProcess | peer review ⓘ |
| targetAudience |
applied researchers
ⓘ
scientists using statistical methods ⓘ statisticians ⓘ |
| uses |
formal statistical inference
ⓘ
modern computational methods ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Annals of Applied Statistics Description of subject: Annals of Applied Statistics is a peer-reviewed scholarly journal focusing on the development and application of statistical methods to real-world problems across diverse scientific fields.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.