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文献信息
AStA - Advances in Statistical Analysis, a journal of the German Statistical Society, is published quarterly and presents original contributions on statistical methodology, applications and review articles. It offers researchers in current and emerging fields a forum to introduce, disseminate and promote new ideas in statistics and to stimulate the active discussion in the research field. This also includes exciting new methodological developments in traditional areas.
Variable SelectionNonparametric RegressionAsymptotic NormalityTest StatisticsTime SeriesMaximum LikelihoodEM AlgorithmMeasurement ErrorMissing DataMarkov Chain Monte CarloMaximum Likelihood EstimationConfidence IntervalsExplanatory VariablesQuantile RegressionFunctional DataCount DataMonte Carlo SimulationLinear RegressionMultiple ImputationResponse Variable
vol.109 (2025)
vol.108 (2024)
vol.107 (2023)
vol.106 (2022)
vol.105 (2021)
vol.104 (2020)
vol.103 (2019)
vol.102 (2018)
vol.101 (2017)
vol.100 (2016)
vol.99 (2015)
vol.98 (2014)
vol.97 (2013)
vol.96 (2012)
vol.95 (2011)
vol.94 (2010)
vol.93 (2009)
vol.92 (2008)
vol.91 (2007)
vol.90 (2006)
vol.89 (2005)
vol.76 (1992)
vol.74 (1990)
vol.73 (1989)
vol.72 (1988)
vol.71 (1987)
vol.70 (1986)
vol.69 (1985)
vol.67 (1983)
vol.65 (1981)
vol.63 (1979)
vol.62 (1978)
vol.61 (1977)