Accession Number : ADA176387

Title :   Using Influence Diagrams to Solve the Calibration Problem.

Descriptive Note : Technical rept.,

Corporate Author : CALIFORNIA UNIV BERKELEY OPERATIONS RESEARCH CENTER

Personal Author(s) : Barlow,Richard E ; Mensing,R W ; Smiriga,N G

PDF Url : ADA176387

Report Date : Aug 1986

Pagination or Media Count : 35

Abstract : The purpose of the calibration experiment is to learn about (alpha beta) so that given a future observation y we can reduce our uncertainty about a future true measurement x. To calibrate our measuring instrument, we record n measurements y = (y sub 1, y sub 2, ..., y sub n) on n units all of whose true measurements, x = (x sub 1, x sub 2, ...,x sub n) are specified beforehand. Based on our prior , p(x), for a future x (call it sub f) and our regression model (1.1), our problem is to determine x = x sub 1, x sub 2,...,x sub n) (subject to feasibility constraints) so as to minimize some overall loss function. x is called the experimental design for the calibration experiment. Keywords: bivariate analysis; normal distribution.

Descriptors :   *EXPERIMENTAL DESIGN, *CALIBRATION, BIVARIATE ANALYSIS, FUNCTIONS, LOSSES, MEASUREMENT, MATHEMATICAL MODELS, REGRESSION ANALYSIS, DIAGRAMS, MEASURING INSTRUMENTS, NORMAL DISTRIBUTION, PROBLEM SOLVING, COMPUTATIONS

Subject Categories : Operations Research

Distribution Statement : APPROVED FOR PUBLIC RELEASE