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Title: BASIC TECHNIQUES AND EXAMPLES OF COMPUTER SIMULATION
Accession Number: 00163033
Record Type: Component
Availability: Find a library where document is available Abstract: Computer simulation is one of the most useful techniques available to the statistician. However, current literature indicates that this approach has been widely used by engineers. This paper provides the basic tools for anyone with an elementary knowledge of statistical theory and computer programming to simulate a random normal process on a digital computer. The usefulness of this technique is illustrated by two examples that involve concrete strength specifications. The first deals with the determination of the best sampling plan for a quality-assurance testing program, and the second illustrates the simulation of a statistical acceptance procedure with a reduced pay schedule. Several FORTRAN subroutines are described for generating both uniform and normal random numbers, sorting a data array, selecting a random sample, calculating statistical parameters, and printing a histogram. /Author/
Supplemental Notes: Publication of this paper sponsored by Committee on Quality Assurance and Acceptance Procedures. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved.
Monograph Title: Monograph Accession #: 01411465
Authors: Weed, Richard MPagination: pp 44-50
Publication Date: 1976
Serial: Conference:
55th Annual Meeting of the Transportation Research Board
Location:
Washington District of Columbia, United States ISBN: 0309025893
Media Type: Digital/other
Features: Figures
(3)
; References
(3)
; Tables
(4)
TRT Terms: Identifier Terms: Old TRIS Terms: Subject Areas: Construction; Data and Information Technology; Highways; Materials
Files: TRIS, TRB
Created Date: Oct 13 1977 12:00AM
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