HENSTOCK ON RANDOM VARIATION

• Muldowney Pat

  University of Ulster

Abstract

The theory of integration (including measure) is the basis for the study of probability and random variation. Thus Henstock’s Riemann-type integration theory has relevance to our understanding of random variation. Henstock addressed this issue in many of his published works, in which he gave interpretations of probability, of the statistical analysis of data, and of random processes. His analysis of Feynman’s nonabsolute integrals in quantum mechanics brings this subject properly into the domain of random variation.

Journal

• Scientiae Mathematicae Japonicae

  Scientiae Mathematicae Japonicae 67 (1), 51-69, 2008

  International Society for Mathematical Sciences

Keywords

• Ralph Henstock
• Riemann integration
• Probabilit
• Feynman integration

Details

• CRID: 1390002184880294912
• NII Article ID: 10021089163
• NII Book ID: AA1150654X
• DOI: 10.32219/isms.67.1_51
• ISSN: 13460447
• Text Lang: en
• Data Source:
  • JaLC
  • CiNii Articles
• Abstract License Flag: Disallowed