Statistics and Its Interface
peer-reviewed open access scientific journal

Statistics and Its Interface is a quarterly peer-reviewed open access scientific journal covering the interface between the field of statistics and other disciplines. The journal was established in 2008 and is published by International Press. The editor-in-chief is Heping Zhang (Yale University). The journal is abstracted and indexed in MathSciNet, Science Citation Index Expanded, and Zentralblatt MATH. According to the Journal Citation Reports, the journal has a 2014 impact factor of 2.933 - the second highest among all statistical journals that publish original articles.
Begin with the source’s own compact description: “Statistics and Its Interface” is peer-reviewed open access scientific journal. The dossier treats that line as a proposition to test through Statistics, Interface and peer-reviewed, not as a finished interpretation.
Why this record matters
The phrase “peer-reviewed open access scientific journal” supplies a clear boundary for inquiry. It also exposes the unanswered questions: who defined that boundary, when it became stable and which sources sit outside it.
Datasets, specimens, observations and peer-reviewed methods provide the appropriate test for the technical claims summarized here. The source revision retrieved here is dated Aug 10, 2023. The linked authority identifier is Q18392954. 3 of 3 selected statements include explicit references; 1 carry qualifiers and 0 use preferred rank. The first chronological checks are 2008 and 2014.
Current terminology should not be projected backward without checking the classification used when the underlying evidence was created. The lead is largely declarative, so disagreement and counter-evidence require a deliberate search beyond the opening account. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.
How to read it
Check terminology, classification and the date of the cited evidence. Scientific names and technical consensus can change while older records retain historical value.
- Current terminology
- Classification context
- Finding cited technical literature
Primary datasets, specimen catalogues, standards bodies and the most recent peer-reviewed literature.
Three-step research path
- Establish the record: confirm the title “Statistics and Its Interface”, its source revision and the description used here.
- Expand the search: follow Statistics and Its Interface primary sources, Statistics and Its Interface archive and Statistics research across catalogues and specialist indexes.
- Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.
Questions for further research
- Which source most directly establishes the central claim about “Statistics and Its Interface”?
- Is the terminology current, historical or disputed?
- Which observation, specimen, dataset or publication supports the account?
Search terms from this dossier
This entry incorporates text from “Statistics and Its Interface” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.