Accession Number:

ADP007113

Title:

Relational Databases: A Tutorial for Statisticians,

Descriptive Note:

Corporate Author:

EDS RESEARCH ALBUQUERQUE NM

Personal Author(s):

• Hill, Joe R.

Report Date:

1992-01-01

Pagination or Media Count:

8.0

Abstract:

This tutorial links relational database concepts to probability concepts. For example, the fundamental relational database concepts of an attributecolumn heading, a relation scheme unpopulated table, and a relation populated table correspond respectively to the probability concepts of a random variable, a random vector, and a multivariate probability distribution. The relational select and project operators correspond respectively to finding a conditional and marginal distribution Functional dependencies, multivalued dependences, and join dependencies correspond respectively to variable transformations, conditional independencies, and more general factorizations of distributions. These connections indicate that statisticians may know more about relational databases than they realize. Beyond these pedagogical benefits, these connections between relational databases and statistics provide a bridge, both directions of which have proven to be useful for developing new theory.

Descriptors:

• *PROBABILITY
• *TRAINING
• *COMPUTER AIDED INSTRUCTION
• BENEFITS
• BRIDGES
• DISTRIBUTION
• RANDOM VARIABLES
• STATISTICS
• THEORY
• TRANSFORMATIONS
• VARIABLES
• DATA BASES

Subject Categories:

• Information Science

Distribution Statement:

APPROVED FOR PUBLIC RELEASE