CORD-19:07815f7f4d5711d2c737bfc2562bd07bf4644189 / 0-451 JSONTXT

{"project":"CORD-PICO","denotations":[{"id":"p2_o1","span":{"begin":4,"end":71},"obj":"Other"}],"text":"The nonparametric maximum likelihood estimator for middle-censored data\n\nAbstract\non any interval [a,b], a r b for which F 0 ðbÞ 4F 0 ðaÀÞ. Observe that if A 0 (x)=1 on any interval where F 0 has a positive mass, then censoring occurs with probability 1 on such an interval. As a consequence, there will be no observations on the\nContents lists available at ScienceDirect\n\nIn this note, we consider data subjected to middle censoring where the variabl"}

{"project":"CORD-19-Sentences","denotations":[{"id":"TextSentencer_T1","span":{"begin":0,"end":71},"obj":"Sentence"},{"id":"TextSentencer_T2","span":{"begin":73,"end":81},"obj":"Sentence"},{"id":"TextSentencer_T3","span":{"begin":82,"end":139},"obj":"Sentence"},{"id":"TextSentencer_T4","span":{"begin":140,"end":274},"obj":"Sentence"},{"id":"TextSentencer_T5","span":{"begin":275,"end":329},"obj":"Sentence"},{"id":"TextSentencer_T6","span":{"begin":330,"end":371},"obj":"Sentence"},{"id":"TextSentencer_T1","span":{"begin":0,"end":71},"obj":"Sentence"},{"id":"TextSentencer_T2","span":{"begin":73,"end":81},"obj":"Sentence"},{"id":"TextSentencer_T3","span":{"begin":82,"end":139},"obj":"Sentence"},{"id":"TextSentencer_T4","span":{"begin":140,"end":274},"obj":"Sentence"},{"id":"TextSentencer_T5","span":{"begin":275,"end":329},"obj":"Sentence"},{"id":"TextSentencer_T6","span":{"begin":330,"end":371},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"The nonparametric maximum likelihood estimator for middle-censored data\n\nAbstract\non any interval [a,b], a r b for which F 0 ðbÞ 4F 0 ðaÀÞ. Observe that if A 0 (x)=1 on any interval where F 0 has a positive mass, then censoring occurs with probability 1 on such an interval. As a consequence, there will be no observations on the\nContents lists available at ScienceDirect\n\nIn this note, we consider data subjected to middle censoring where the variabl"}

{"project":"Epistemic_Statements","denotations":[{"id":"T1","span":{"begin":275,"end":329},"obj":"Epistemic_statement"},{"id":"T2","span":{"begin":330,"end":371},"obj":"Epistemic_statement"}],"text":"The nonparametric maximum likelihood estimator for middle-censored data\n\nAbstract\non any interval [a,b], a r b for which F 0 ðbÞ 4F 0 ðaÀÞ. Observe that if A 0 (x)=1 on any interval where F 0 has a positive mass, then censoring occurs with probability 1 on such an interval. As a consequence, there will be no observations on the\nContents lists available at ScienceDirect\n\nIn this note, we consider data subjected to middle censoring where the variabl"}

{"project":"CORD-19_Custom_license_subset","denotations":[{"id":"T1","span":{"begin":0,"end":71},"obj":"Sentence"},{"id":"T2","span":{"begin":73,"end":81},"obj":"Sentence"},{"id":"T3","span":{"begin":82,"end":139},"obj":"Sentence"},{"id":"T4","span":{"begin":140,"end":274},"obj":"Sentence"},{"id":"T5","span":{"begin":275,"end":329},"obj":"Sentence"},{"id":"T6","span":{"begin":330,"end":371},"obj":"Sentence"}],"text":"The nonparametric maximum likelihood estimator for middle-censored data\n\nAbstract\non any interval [a,b], a r b for which F 0 ðbÞ 4F 0 ðaÀÞ. Observe that if A 0 (x)=1 on any interval where F 0 has a positive mass, then censoring occurs with probability 1 on such an interval. As a consequence, there will be no observations on the\nContents lists available at ScienceDirect\n\nIn this note, we consider data subjected to middle censoring where the variabl"}