CORD-19:07815f7f4d5711d2c737bfc2562bd07bf4644189 / 534-838 JSONTXT

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    CORD-19-Sentences

    {"project":"CORD-19-Sentences","denotations":[{"id":"TextSentencer_T8","span":{"begin":0,"end":304},"obj":"Sentence"},{"id":"TextSentencer_T8","span":{"begin":0,"end":304},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"We demonstrate that the nonparametric maximum likelihood estimator (NPMLE) of distribution function can be obtained by using Turnbull's (1976) EM algorithm or self-consistent estimating equation (Jammalamadaka and Mangalam, 2003) with an initial estimator which puts mass only on the innermost intervals."}

    Epistemic_Statements

    {"project":"Epistemic_Statements","denotations":[{"id":"T4","span":{"begin":0,"end":304},"obj":"Epistemic_statement"}],"text":"We demonstrate that the nonparametric maximum likelihood estimator (NPMLE) of distribution function can be obtained by using Turnbull's (1976) EM algorithm or self-consistent estimating equation (Jammalamadaka and Mangalam, 2003) with an initial estimator which puts mass only on the innermost intervals."}

    CORD-19_Custom_license_subset

    {"project":"CORD-19_Custom_license_subset","denotations":[{"id":"T8","span":{"begin":0,"end":304},"obj":"Sentence"}],"text":"We demonstrate that the nonparametric maximum likelihood estimator (NPMLE) of distribution function can be obtained by using Turnbull's (1976) EM algorithm or self-consistent estimating equation (Jammalamadaka and Mangalam, 2003) with an initial estimator which puts mass only on the innermost intervals."}

    CORD-19-PD-MONDO

    {"project":"CORD-19-PD-MONDO","denotations":[{"id":"T1","span":{"begin":143,"end":145},"obj":"Disease"}],"attributes":[{"id":"A1","pred":"mondo_id","subj":"T1","obj":"http://purl.obolibrary.org/obo/MONDO_0006545"}],"text":"We demonstrate that the nonparametric maximum likelihood estimator (NPMLE) of distribution function can be obtained by using Turnbull's (1976) EM algorithm or self-consistent estimating equation (Jammalamadaka and Mangalam, 2003) with an initial estimator which puts mass only on the innermost intervals."}