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An Object-Oriented Architecture for Statistical Software

In: Computing Science and Statistics

Author

Listed:
  • Vincent Ng

    (British Columbia Cancer Agency, Section of Biometry)

  • Andrew Coldman

    (British Columbia Cancer Agency, Section of Biometry)

Abstract

In this paper we will present an object-oriented software architecture which would model statistical knowledge and information. We will describe what an object is, and how it can be used to represent statistical concepts and information. Each object is composed of three parts: it has internal attributes, public and private operations and a local knowledge store. Analogous to three major parts in a statistical analysis: strategies, methods of analysis and data, we have developed three major classes of objects: system objects, statistical objects and factor objects. Objects with common behaviors are grouped into classes and object inheritance is used to organize the inter-class relationships. A specified application domain, the statistical analysis of clinical studies, has been chosen to illustrate the software architecture. We will describe the definitions, the operations and the knowledge representation of the objects involved, how they are inter-related, and some implementation issues.

Suggested Citation

  • Vincent Ng & Andrew Coldman, 1992. "An Object-Oriented Architecture for Statistical Software," Springer Books, in: Connie Page & Raoul LePage (ed.), Computing Science and Statistics, pages 484-488, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4612-2856-1_83
    DOI: 10.1007/978-1-4612-2856-1_83
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