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文献信息
The Canadian Journal of Statistics is the official journal of the Statistical Society of Canada. It is a generalist journal, welcoming innovative contributions to theoretical, methodological, applied or computational statistics as well as to applied probability. The editorial board includes distinguished and experienced statistical scientists with applied, computational, methodological, theoretical and probabilistic interests. The journal is free to read for Statistical Society of Canada members.
Asymptotic NormalityVariable SelectionLongitudinal DataNonparametric RegressionConfidence IntervalsMaximum LikelihoodTest StatisticCensored DataNonparametric EstimationRandom VariablesNull HypothesisTest StatisticsBayesian InferenceMarkov Chain Monte CarloMean Squared ErrorSTATISTICSEstimatorMaximum Likelihood EstimatorMeasurement ErrorRobust Estimation
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vol.13 (1985)
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