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文献信息
The Australian & New Zealand Journal of Statistics is an international journal managed jointly by the Statistical Society of Australia and the New Zealand Statistical Association. Its purpose is to report significant and novel contributions in statistics, ranging across articles on statistical theory, methodology, applications and computing. The journal has a particular focus on statistical techniques that can be readily applied to real-world problems, and on application papers with an Australasian emphasis. Outstanding articles submitted to the journal may be selected as Discussion Papers, to be read at a meeting of either the Statistical Society of Australia or the New Zealand Statistical Association.
Maximum LikelihoodConfidence IntervalsMarkov Chain Monte CarloVariable SelectionAsymptotic NormalityModel SelectionMaximum Likelihood EstimationConfidence IntervalRandom EffectsNonparametric RegressionMean Squared ErrorTime SeriesMaximum Likelihood EstimatorLinear ModelCount DataLongitudinal DataOrder StatisticsSemiparametric RegressionEstimatorEM Algorithm
vol.68 (2026)
vol.67 (2025)
vol.66 (2024)
vol.65 (2023)
vol.64 (2022)
vol.63 (2021)
vol.62 (2020)
vol.61 (2019)
vol.60 (2018)
vol.59 (2017)
vol.58 (2016)
vol.57 (2015)
vol.56 (2014)
vol.55 (2013)
vol.54 (2012)
vol.53 (2011)
vol.52 (2010)
vol.51 (2009)
vol.50 (2008)
vol.49 (2007)
vol.48 (2006)
vol.47 (2005)
vol.46 (2004)
vol.45 (2003)
vol.44 (2002)
vol.43 (2001)
vol.42 (2000)
vol.41 (1999)
vol.40 (1998)
APPLICATION
STATISTICAL COMPUTING