Australian & New Zealand Journal of Statistics

Cover image for Vol. 58 Issue 3

Edited By: James Curran, Michael Martin, Martin Hazelton

Impact Factor: 0.431

ISI Journal Citation Reports © Ranking: 2015: 107/123 (Statistics & Probability)

Online ISSN: 1467-842X

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Recently Published Articles

  1. Providing Consulting Experiences Through Role Playing in a Graduate Statistics Course (pages 319–333)

    R.T. Sabo

    Version of Record online: 21 SEP 2016 | DOI: 10.1111/anzs.12167

    This article focuses on how to assess student communication using a role-playing based approach to provide statistical consulting experiences in the classroom.

  2. Exploring Parameter Relations for Multi-Stage Models in Stage-Wise Constant and Time Dependent Hazard Rates (pages 357–376)

    Hoa Pham and Alan Branford

    Version of Record online: 21 SEP 2016 | DOI: 10.1111/anzs.12164

    This paper considers parameter estimation for multi-stage models which are the models with stage-wise constant hazard rates and the models with linear time-dependent hazard rates.

  3. Regularisation Parameter Selection Via Bootstrapping (pages 335–356)

    Zhen Pang, Bingqing Lin and Jiming Jiang

    Version of Record online: 21 SEP 2016 | DOI: 10.1111/anzs.12168

    We propose one new data-driven method for choosing the regularization parameter in penalised likelihood modeling and establish the consistency of the method.

  4. Inference in Semi-Parametric Dynamic Models for Repeated Count Data (pages 397–434)

    Brajendra C. Sutradhar, K.V. Vineetha Warriyar and Nan Zheng

    Version of Record online: 16 SEP 2016 | DOI: 10.1111/anzs.12166

    This paper deals with a semi-parametric regression model for repeated count data involving a specified regression function in primary covariates and a non-parametric function in secondary covariates.

  5. Missing Data Mechanisms for Analysing Longitudinal Data with Incomplete Observations in Both Responses and Covariates (pages 377–396)

    Haocheng Li and Grace Y. Yi

    Version of Record online: 10 SEP 2016 | DOI: 10.1111/anzs.12165

    This paper proposes three specific missing data mechanisms for longitudinal data with missingness in both responses and covariates.