STATISTICAL ANALYSIS OF CONTINUOUS DATA RECORDS

Simple stochastic techniques described permit efficient utilization of information contained in continuous data records. Statistical parameters are analogous to corresponding random variable quantities. Evaluation of autocovariance functions provide approximate results for a large number of physical phenomena. Simple hypothesis testing techniques follow directly from the procedures presented. Actual subway noise data illustrate application of the techniques.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/8674831
• Corporate Authors:

  American Society of Civil Engineers

  345 East 47th Street
  New York, NY  United States  10017-2398
• Authors:
  • Corotis, R B
• Publication Date: 1974-2

Media Info

• Features: Appendices; Figures; References; Tables;
• Pagination: p. 195-206
• Serial:
  • Journal of Transportation Engineering
  • Volume: 100
  • Issue Number: TE1
  • Publisher: American Society of Civil Engineers
  • ISSN: 0733-947X
  • Serial URL: https://ascelibrary.org/journal/jtepbs

Subject/Index Terms

• TRT Terms: Covariance; Data collection; Environmental protection; Hypothesis testing; Noise; Noise control; Statistical analysis; Stochastic processes; Subways; Testing
• Uncontrolled Terms: Hypothesis
• Old TRIS Terms: Data recording
• Subject Areas: Administration and Management; Data and Information Technology; Environment; Highways; Public Transportation; Railroads;

Filing Info

• Accession Number: 00056742
• Record Type: Publication
• Source Agency: Engineering Index
• Report/Paper Numbers: Proc Paper 10362
• Files: TRIS
• Created Date: Jul 31 1982 12:00AM