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The Canadian Journal of Statistics is the official journal of the Statistical Society of Canada. It has a reputation internationally as an excellent journal. The editorial board is comprised of statistical scientists with applied, computational, methodological, theoretical and probabilistic interests. Their role is to ensure that the journal continues to provide an international forum for the discipline of Statistics. The journal seeks papers making broad points of interest to many readers, whereas papers making important points of more specific interest are better placed in more specialized journals. The levels of innovation and impact are key in the evaluation of submitted manuscripts.
Asymptotic NormalityVariable SelectionLongitudinal DataNonparametric RegressionConfidence IntervalsMaximum LikelihoodCensored DataTest StatisticNonparametric EstimationNull HypothesisRandom VariablesTest StatisticsBayesian InferenceSTATISTICSMarkov Chain Monte CarloMean Squared ErrorEstimatorMissing DataMaximum Likelihood EstimatorRobust Estimation
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