Australian & New Zealand Journal of Statistics
© Australian Statistical Publishing Association
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
Recently Published Articles
- Providing Consulting Experiences Through Role Playing in a Graduate Statistics Course (pages 319–333)
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.
- 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.
- 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.
- 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.
- 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.