ANZJStat

The official Twitter feed of the Australian and New Zealand Journal of Statistics

[ANZJStat @ANZJStat]

The role of pairwise matching in experimental design for an incidence outcome
https://t.co/eycRW1ipt0

[ANZJStat @ANZJStat]

Comparisons of distributions of Australian mental health scores
https://t.co/M1qCLYv0QQ

[ANZJStat @ANZJStat]

A novel method aiming to correct for measurement error when estimating regression functions.
https://t.co/kosJkVgVny

[ANZJStat @ANZJStat]

Embedding latent class regression and latent class distal outcome models into cluster-weighted latent class analysis: a detailed simulation experiment.
https://t.co/OrYDohOheC

[ANZJStat @ANZJStat]

A multi-group Bayesian SEM that maps the unobserved cognition variable to a broad range of observed outcomes.
https://t.co/OpfiOGfpY8

[ANZJStat @ANZJStat]

The multivariate component zero-inflated Poisson distribution - accounts for both the overall and component zero-inflations.
https://t.co/gi5aG1u9m9

[ANZJStat @ANZJStat]

A semi-parametric approach to model non-linear relationships in time series data using polynomial splines.
https://t.co/FTCqreFSJD

[ANZJStat @ANZJStat]

The asymptotic properties of M-estimator in multivariate linear regression model..
https://t.co/RgKqCpLxed

[ANZJStat @ANZJStat]

Selection of predictors by using greedy algorithms and information theoretic criteria.
https://t.co/cobieaFKB2

[ANZJStat @ANZJStat]

A new visual method for assessing matrix-variate normality by means of a distance–distance plot.
https://t.co/ehEDucjrVI

[ANZJStat @ANZJStat]

A Robust PCA for high-dimensional data. It has the distinct advantage of dealing with heavy-tail-distributed data.
https://t.co/XFYshSumsg

[ANZJStat @ANZJStat]

The Bayesian neural tree (BNT) models are superior to Bayesian CART and Bayesian neural network models.
https://t.co/X4VCvDNpSb

[ANZJStat @ANZJStat]

A new method for estimating the proportion of null effects is proposed for solving large-scale multiple comparison problems.
https://t.co/rsq6NSjy0H

[ANZJStat @ANZJStat]

A new method of finding confidence intervals that are often narrower than traditional confidence intervals for any individual parameter in a linear model if the errors are from a skewed distribution or from a long-tailed symmetric distribution.
https://t.co/NkYTpTzP0v

[ANZJStat @ANZJStat]

The Bridge estimator for a high-dimensional panel data model with heterogeneous varying coefficients, where the random errors are assumed to be serially correlated and cross-sectionally dependent.
https://t.co/WbUmTpGIDS

[ANZJStat @ANZJStat]

On two conjectures about perturbations of the stochastic growth rate
https://t.co/tzvdZMWIrv

[ANZJStat @ANZJStat]

A Bayesian Richards growth model - applied to grape size data. https://t.co/r4nH9iY2Eg
@Wiley_Stats @StatSocAus #freeaccess #OpenAccess

[ANZJStat @ANZJStat]

Minimum cost-compression risk in principal component analysis
https://t.co/0X0XDlAwSE
@Wiley_Stats @StatisticsViews

[ANZJStat @ANZJStat]

A new minification integer-valued autoregressive process driven by explanatory variables.
https://t.co/Dn946IUu6L
@Wiley_Stats @StatisticsViews