{"data":{"id":"10.6084/m9.figshare.c.2029151.v1","type":"dois","attributes":{"doi":"10.6084/m9.figshare.c.2029151.v1","prefix":"10.6084","suffix":"m9.figshare.c.2029151.v1","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Ye, Zhi-Sheng","givenName":"Zhi-Sheng","familyName":"Ye","affiliation":[],"nameIdentifiers":[]},{"name":"Xie, Min","givenName":"Min","familyName":"Xie","affiliation":[],"nameIdentifiers":[]},{"name":"Tang, Loon-Ching","givenName":"Loon-Ching","familyName":"Tang","affiliation":[],"nameIdentifiers":[]},{"name":"Chen, Nan","givenName":"Nan","familyName":"Chen","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Semiparametric Estimation of Gamma Processes for Deteriorating Products"}],"publisher":"Taylor \u0026 Francis","container":{},"publicationYear":2015,"subjects":[{"subject":"Mathematics"},{"subject":"FOS: Mathematics","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Biological Sciences"},{"subject":"Ecology"},{"subject":"FOS: Biological sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Genetics"}],"contributors":[],"dates":[{"date":"2015-12-05","dateType":"Created"},{"date":"2019-08-19","dateType":"Updated"},{"date":"2015","dateType":"Issued"}],"language":null,"types":{"ris":"GEN","bibtex":"misc","citeproc":"article","schemaOrg":"Collection","resourceType":"Collection","resourceTypeGeneral":"Collection"},"relatedIdentifiers":[{"relationType":"IsIdenticalTo","relatedIdentifier":"10.6084/m9.figshare.c.2029151","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This article investigates the semiparametric inference of the simple Gamma-process model and a random-effects variant. 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