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Integrating statistical theory with statistical databases

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Abstract

Statistical databases have traditionally been stored as flat files approximating relations. We propose that by storing statistical data in an object oriented type database, enhanced with knowledge of statistical theory, a more natural and powerful interface to statistical data can be created.

A formalism is proposed for dealing with and combining data that have random components by makingstatistics first class citizens in the database world. Entities in the databases are classified according to whether they areobservations, orstatistics.Estimates are a special type ofstatistics which aremoored toobservation entities.Statistics entities are classified by their statistical properties. A hierarchical structure of random features is provided, with distributions at its leaves. This structure is a DAG (Directed Acyclic Graph), which may be extended or redefined for different applications and contains information used to compare and manipulatestatistics.

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Authors and Affiliations

  1. AT&T Bell Laboratories, Rm. 2J524, 07733, Holmdel, NJ, USA

    David J. Lubinsky

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  1. David J. Lubinsky
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Lubinsky, D.J. Integrating statistical theory with statistical databases. Ann Math Artif Intell 2, 245–259 (1990). https://doi.org/10.1007/BF01531010

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  • DOI: https://doi.org/10.1007/BF01531010

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