CALL FOR PAPERS
Statistical Modelling
An International Journal
Editors
John Hinde, National University of Ireland Galway, Ireland
Emmanuel Lesaffre, Katholieke Universiteit Leuven, Belgium
Brian Marx, Louisiana State University, USA
Statistical Modelling is the first interdisciplinary journal to take
statistical modelling as its defining focus and to incorporate
contributions from non-statisticians working in related fields. The journal
contains articles from the leading researchers and practitioners in fields
as varied as economics, psychology, medicine and statistics. The practical
and applicable nature of Statistical Modelling will be reflected in the
online provision of software and datasheets to accompany the text articles.
This highly practical journal includes articles and reviews from all
disciplines on:
·Modelling and analysing correlated non-normal data
·Multinomial logit random effect models
·Multiple membership multiple classification (MMMC) models.
·A multivariate generalized linear mixed model for joint modelling of
clustered outcomes in the exponential family
·A review on linear mixed models for longitudinal data, possibly subject to
dropout
·Fitting complex random effect models with standard software using data
augmentation: application to a study of male and female fecundability
·Semiparametric methods in applied econometrics: Do the models fit the data?
Statistical Modelling presents the latest contributions from leading
researchers and practitioners - TO SUBMIT YOUR PAPER please contact
mailto:arnoldjournals@hodder.co.uk
or look on the website below
If you would like to order a FREE SAMPLE COPY then please contact
mailto:patrick.kelly@hodder.co.uk
For more details, including editorial and international advisory board
details then please visit http://www.statmod.com/
http://www.statmod.com/
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