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文献信息
Statistica Sinica aims to meet the needs of statisticians in a rapidly changing world. It provides a forum for the publication of innovative work of high quality in all areas of statistics, including theory, methodology and applications. The journal encourages the development and principled use of statistical methodology that is relevant for society, science and technology.
Variable SelectionAsymptotic NormalityNonparametric RegressionModel SelectionDimension ReductionMaximum Likelihood EstimationSliced Inverse RegressionMaximum Likelihood EstimatorAsymptotic TheoryLongitudinal DataMissing DataHypothesis TestingEfficient EstimationStatistical ScienceMaximum LikelihoodConfidence IntervalsSample SizeTime SeriesEstimatorSufficient Dimension Reduction
vol.35 (2025)
vol.34 (2024)
vol.33 (2023)
vol.32 (2022)
vol.31 (2021)
vol.30 (2020)
vol.29 (2019)
vol.28 (2018)
vol.27 (2017)
vol.26 (2016)
vol.25 (2015)
vol.24 (2014)
vol.23 (2013)
vol.22 (2012)
vol.21 (2011)
vol.20 (2010)
vol.19 (2009)
vol.18 (2008)
vol.17 (2007)
vol.16 (2006)
vol.15 (2005)
vol.14 (2004)
vol.13 (2003)
vol.12 (2002)
vol.11 (2001)
vol.10 (2000)
vol.9 (1999)
vol.8 (1998)
vol.7 (1997)
vol.6 (1996)
vol.5 (1995)
vol.4 (1994)
vol.3 (1993)
vol.2 (1992)
vol.1 (1991)
Li, MingWang, ChengYin, YanqingZheng, Shurong
Wang, ChunyanLin, Dennis K. J.Liu, Min-Qian
Zhou, XinTan, Kean MingLu, Junwei
Jacobson, TateZou, Hui
Jiang, DandanHou, ZhiqiangBai, ZhidongLi, Runze