Journal: Australian & New Zealand Journal of Statistics

Found 128 papers in total
Exploring Parameter Relations for Multi-Stage Models in Stage-Wise Constant and Time Dependent Hazard Rates
Exploring Parameter Relations for Multi-Stage Models in Stage-Wise Constant and Time Dependent Hazard Rates
2016,
Single cohort stage‐frequency data are considered when assessing the stage...
Regularisation Parameter Selection Via Bootstrapping
Regularisation Parameter Selection Via Bootstrapping
2016,
Penalised likelihood methods, such as the least absolute shrinkage and selection...
Providing Consulting Experiences Through Role Playing in a Graduate Statistics Course
Providing Consulting Experiences Through Role Playing in a Graduate Statistics Course
2016,
An effective method for improving the communication skills of graduate students in...
Inference in Semi-Parametric Dynamic Models for Repeated Count Data
Inference in Semi-Parametric Dynamic Models for Repeated Count Data
2016,
This paper deals with a longitudinal semi‐parametric regression model in a...
Confirmatory Factor Analysis of Ordinal Data Using Full-Information Adaptive Quadrature
Confirmatory Factor Analysis of Ordinal Data Using Full-Information Adaptive Quadrature
2016,
We conducted confirmatory factor analysis (CFA) of responses (N=803) to a...
Label- and Level-Invariant Graphical Log-Linear Models
Label- and Level-Invariant Graphical Log-Linear Models
2016,
We introduce two types of graphical log‐linear models: label‐ and...
Joint Modeling of Survival and Longitudinal Ordered Data Using a Semiparametric Approach
Joint Modeling of Survival and Longitudinal Ordered Data Using a Semiparametric Approach
2016,
Medical research frequently focuses on the relationship between quality of life (QoL)...
Multiple Hypothesis Testing for Variable Selection
Multiple Hypothesis Testing for Variable Selection
2016,
We propose two new procedures based on multiple hypothesis testing for correct support...
A Bootstrap Likelihood Approach to Bayesian Computation
A Bootstrap Likelihood Approach to Bayesian Computation
2016,
There is an increasing amount of literature focused on Bayesian computational methods...
Discrete Truncated Power-Law Distributions
Discrete Truncated Power-Law Distributions
2016,
Discrete power‐law distributions have significant consequences for...
The Buckley‐James Estimator and Induced Smoothing
The Buckley‐James Estimator and Induced Smoothing
2016,
The Buckley–James (BJ) estimator is known to be consistent and efficient for a...
Lower Bounds on Integrated Risk, Subject to Inequality Constraints
Lower Bounds on Integrated Risk, Subject to Inequality Constraints
2016,
Statistical decision theory can sometimes be used to find, via a least favourable...
Missing Data Mechanisms for Analysing Longitudinal Data with Incomplete Observations in Both Responses and Covariates
Missing Data Mechanisms for Analysing Longitudinal Data with Incomplete Observations in Both Responses and Covariates
2016,
Missing observations in both responses and covariates arise frequently in longitudinal...
Nonparametric Estimation of the Number of Drug Users in Hong Kong Using Repeated Multiple Lists
Nonparametric Estimation of the Number of Drug Users in Hong Kong Using Repeated Multiple Lists
2016,
We update a previous approach to the estimation of the size of an open population when...
On the Correlation Structure of Gaussian Copula Models for Geostatistical Count Data
On the Correlation Structure of Gaussian Copula Models for Geostatistical Count Data
2016,
We describe a class of random field models for geostatistical count data based on...
Predictive Inference for Big, Spatial, Non-Gaussian Data: MODIS Cloud Data and its Change-of-Support
Predictive Inference for Big, Spatial, Non-Gaussian Data: MODIS Cloud Data and its Change-of-Support
2016,
Remote sensing of the earth with satellites yields datasets that can be massive in...
Generalised Rank Regression Estimator with Standard Error Adjusted Lasso
Generalised Rank Regression Estimator with Standard Error Adjusted Lasso
2016,
One of the standard variable selection procedures in multiple linear regression is to...
Inference from PseudoLikelihoods with Plug-In Estimates
Inference from PseudoLikelihoods with Plug-In Estimates
2015,
Effective implementation of likelihood inference in models for high‐dimensional...
Hedging Barrier Options in GARCH Models with Transaction Costs
Hedging Barrier Options in GARCH Models with Transaction Costs
2015,
This study proposes a modified strike‐spread method for hedging barrier options...
Measures of Association and Visualization of Log Odds Ratio Structure for a Two Way Contingency Table
Measures of Association and Visualization of Log Odds Ratio Structure for a Two Way Contingency Table
2015,
The odds ratio (OR) is a measure of association used for analysing an I × J...
Least Squares Sparse Principal Component Analysis: A Backward Elimination Approach to Attain Large Loadings
Least Squares Sparse Principal Component Analysis: A Backward Elimination Approach to Attain Large Loadings
2015,
Sparse principal components analysis (SPCA) is a technique for finding principal...
A Case Study for Modelling Cancer Incidence Using Bayesian Spatio-Temporal Models
A Case Study for Modelling Cancer Incidence Using Bayesian Spatio-Temporal Models
2015,
Researchers familiar with spatial models are aware of the challenge of choosing the...
Regularised Manova for High-Dimensional Data
Regularised Manova for High-Dimensional Data
2015,
The traditional and readily available multivariate analysis of variance (MANOVA) tests...
Extended Analysis of At Least Partially Ordered Multi-factor ANOVA
Extended Analysis of At Least Partially Ordered Multi-factor ANOVA
2015,
For multifactor experimental designs in which the levels of at least one of the...
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