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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 SelectionMaximum Likelihood EstimationDimension ReductionSliced Inverse RegressionMaximum Likelihood EstimatorAsymptotic TheoryLongitudinal DataMissing DataEfficient EstimationHypothesis TestingSample SizeMaximum LikelihoodTime SeriesConfidence IntervalsEstimatorTest StatisticsSufficient Dimension Reduction
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.