摘要
ＳＭＯＯＴＨＰＬ－ＥＳＴＩＭＡＴＯＲＯＦＤＩＳＴＲＩＢＵＴＩＯＮＦＵＮＣＴＩＯＮＵＮＤＥＲＲＡＮＤＯＭＴＲＵＮＣＡＴＩＯＮＤＡＴＡＺＨＯＵＹｏｎｇ（ＩｎｓｔｉｔｕｔｅｏｆＡｐｐｌｉｅｄＭａｔｈｅｍａｔｉｃｓ，ＡｃａｄｅｍｉａＳｉｎｉｃａ，Ｂｅｉｊｉｎ...
For the nonparametric smooth PL-estimator Fn, the smooth PL-process (Fn - F) can be uniformly represented by a smooth empirical process plus a negligible remainder term when the data are subject to random left truncation. The law of the iterated logarithm (LIL) and the weak convergence of the smooth PL-process are established from this representation.
