{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,14]],"date-time":"2024-06-14T10:10:31Z","timestamp":1718359831549},"reference-count":13,"publisher":"Wiley","issue":"5-6","license":[{"start":{"date-parts":[[2015,7,8]],"date-time":"2015-07-08T00:00:00Z","timestamp":1436313600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Statistical Analysis"],"published-print":{"date-parts":[[2015,10]]},"abstract":"Abstract<\/jats:title>As with any type of forensics, nuclear forensics seeks to infer historical information using models and data. This article connects nuclear forensics and calibration. We present statistical analyses of a calibration experiment that connect several responses to the associated set of input values and then \u2018make a measurement\u2019 using the calibration model. Previous and upcoming real experiments involving production of PuO2<\/jats:sub>powder motivate this article. Both frequentist and Bayesian approaches are considered, and we report findings from a simulation study that compares different analysis methods for different underlying responses between inputs and responses, different numbers of responses, different amounts of natural variability, and replicated or non\u2010replicated calibration experiments and new measurements.<\/jats:p>","DOI":"10.1002\/sam.11278","type":"journal-article","created":{"date-parts":[[2016,2,12]],"date-time":"2016-02-12T17:48:26Z","timestamp":1455299306000},"page":"364-377","source":"Crossref","is-referenced-by-count":2,"title":["Statistical analysis for nuclear forensics experiments"],"prefix":"10.1002","volume":"8","author":[{"given":"Christine M.","family":"Anderson\u2010Cook","sequence":"first","affiliation":[{"name":"Statistical Sciences Group Los Alamos National Laboratory Los Alamos NM 87545 USA"}]},{"given":"Tom","family":"Burr","sequence":"additional","affiliation":[{"name":"Statistical Sciences Group Los Alamos National Laboratory Los Alamos NM 87545 USA"}]},{"given":"M. S.","family":"Hamada","sequence":"additional","affiliation":[{"name":"Statistical Sciences Group Los Alamos National Laboratory Los Alamos NM 87545 USA"}]},{"given":"Edward V.","family":"Thomas","sequence":"additional","affiliation":[{"name":"Statistics and Surveillance Assessment Department Sandia National Laboratories"}]}],"member":"311","published-online":{"date-parts":[[2015,7,8]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1967.10490486"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1969.10490714"},{"key":"e_1_2_9_4_1","volume-title":"Multivariate Calibration","author":"Martens H.","year":"1987"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/9780470316665"},{"key":"e_1_2_9_6_1","doi-asserted-by":"crossref","unstructured":"G. A.BurneyandP. K.Smith Controlled PuO Particle Size from PU(III) Oxalate Precipitation. 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