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Statistics is a leading international research journal that publishes high-quality research articles which develop new theory, methods and applications in any active field of statistics and statistical learning. Papers submitted for consideration should provide novel contributions to statistical theory, with rigorous mathematical proofs; or relevant statistical applications, with well demonstrated use cases. Statistics does not publish papers which contain non-applicable statistical theory, or statistical applications not based on a solid theoretical background (e.g. pure case studies which are not interesting from a statistical view).
Asymptotic NormalityRandom VariablesOrder StatisticsMaximum LikelihoodMaximum Likelihood EstimatorNormal DistributionEstimatorExponential DistributionStrong ConsistencyNonparametric RegressionTest StatisticDistribution FunctionVariable SelectionTest StatisticsRegression ModelMonte Carlo SimulationConfidence IntervalsTime SeriesMaximum Likelihood EstimationLikelihood Ratio Test
vol.60 (2026)
vol.59 (2025)
vol.58 (2024)
vol.57 (2023)
vol.56 (2022)
vol.55 (2021)
vol.54 (2020)
vol.53 (2019)
vol.52 (2018)
vol.51 (2017)
vol.50 (2016)
vol.49 (2015)
vol.48 (2014)
vol.47 (2013)
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vol.45 (2011)
vol.44 (2010)
vol.43 (2009)
vol.42 (2008)
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vol.40 (2006)
vol.39 (2005)
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vol.37 (2003)
vol.36 (2002)
vol.35 (2001)
vol.35 (2000)
vol.34 (2000)
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vol.32 (1999)
vol.32 (1998)
vol.31 (1998)
vol.30 (1998)
vol.30 (1997)
vol.29 (1997)
vol.28 (1996)
vol.27 (1996)
vol.27 (1995)
vol.26 (1995)
vol.25 (1994)
vol.25 (1993)