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Title: Elements of Bayesian experimental design

We consider some elements of the Bayesian approach that are important for optimal experimental design. While the underlying principles used are very general, and are explained in detail in a recent tutorial text, they are applied here to the specific case of characterising the inferential value of different resolution peakshapes. This particular issue was considered earlier by Silver, Sivia and Pynn (1989, 1990a, 1990b), and the following presentation confirms and extends the conclusions of their analysis.
Authors:
 [1]
  1. Rutherford Appleton Lab., Oxon (United Kingdom)
Publication Date:
OSTI Identifier:
569579
Report Number(s):
LBNL--40816; CONF-9609353--
ON: DE98050032; TRN: 98:003949
Resource Type:
Conference
Resource Relation:
Conference: Workshop on methods for neutron scattering instrumentation design, Berkeley, CA (United States), 23-25 Sep 1996; Other Information: PBD: Sep 1997; Related Information: Is Part Of Proceedings of a workshop on methods for neutron scattering instrumentation design; Hjelm, R.P. [ed.] [Los Alamos National Lab., NM (United States)]; PB: 150 p.
Research Org:
Lawrence Berkeley National Lab., CA (United States); Los Alamos National Lab., NM (United States)
Country of Publication:
United States
Language:
English
Subject:
44 INSTRUMENTATION, INCLUDING NUCLEAR AND PARTICLE DETECTORS; COMPUTER-AIDED DESIGN; NEUTRON DIFFRACTOMETERS; NEUTRON SPECTROMETERS; COMPUTERIZED SIMULATION