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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.
Nonparametric RegressionVariable SelectionAsymptotic NormalityEM AlgorithmTest StatisticsMissing DataMaximum LikelihoodTime SeriesMarkov Chain Monte CarloMeasurement ErrorMaximum Likelihood EstimationConfidence IntervalsFunctional DataQuantile RegressionMonte Carlo SimulationMultiple ImputationCount DataResponse VariableData ExampleExplanatory Variables
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.