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