CORD-19:07815f7f4d5711d2c737bfc2562bd07bf4644189 / 10576-10986 JSON TXT

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Id	Subject	Object	Predicate	Lexical cue
TextSentencer_T85	0-410	Sentence	denotes	For MIC data, several models have been proposed, and the asymptotic properties of the NPMLE have been investigated under the assumption that either the censoring variables take on finite many values (see Huang, 1999; Yu et al., 1998 Yu et al., , 2000 , or the censoring and survival distributions are strictly increasing and continuous and they have ''positive separation'' (see Huang, 1999, Assumption (A3) ).
TextSentencer_T85	0-410	Sentence	denotes	For MIC data, several models have been proposed, and the asymptotic properties of the NPMLE have been investigated under the assumption that either the censoring variables take on finite many values (see Huang, 1999; Yu et al., 1998 Yu et al., , 2000 , or the censoring and survival distributions are strictly increasing and continuous and they have ''positive separation'' (see Huang, 1999, Assumption (A3) ).

Id	Subject	Object	Predicate	Lexical cue
T31	0-410	Epistemic_statement	denotes	For MIC data, several models have been proposed, and the asymptotic properties of the NPMLE have been investigated under the assumption that either the censoring variables take on finite many values (see Huang, 1999; Yu et al., 1998 Yu et al., , 2000 , or the censoring and survival distributions are strictly increasing and continuous and they have ''positive separation'' (see Huang, 1999, Assumption (A3) ).

Id	Subject	Object	Predicate	Lexical cue
T85	0-410	Sentence	denotes	For MIC data, several models have been proposed, and the asymptotic properties of the NPMLE have been investigated under the assumption that either the censoring variables take on finite many values (see Huang, 1999; Yu et al., 1998 Yu et al., , 2000 , or the censoring and survival distributions are strictly increasing and continuous and they have ''positive separation'' (see Huang, 1999, Assumption (A3) ).