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BMDP was a statistical package developed in 1965 by Wilfrid Dixon at the University of California, Los Angeles. The acronym stands for Bio-Medical Data Package, the word package was added by Dixon as the software consisted of a series of programs (subroutines) which performed different parametric and nonparametric statistical analyses.
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Explore the main themes, entities and connections around BMDP. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
statistical package dixon software originally company statsols free solutions developed 1965 wilfrid university california los angeles acronym stands bio-medical data
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| BMDP | related to External links | Statsols | 0.60 | section |
| BMDP | related to External links | Statistical Solutions | 0.60 | section |
| BMDP | related to External links | About Us Page | 0.60 | section |
| BMDP | related to External links | Retrieved | 0.60 | section |
| BMDP | related to External links | Article | 0.60 | section |
| BMDP | related to External links | Free Online Dictionary | 0.60 | section |
| BMDP | related to External links | Computing | 0.60 | section |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.