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H. Friedl, M. Templ:
"Editorial";
Austrian Journal of Statistics, 43 (2014), 3; 3.

This issue is published by a joint editorship. It contains some very interesting new methods
from distribution fitting to Bayesian modelling, concepts like new views on the
bootstrap, and applications to EU-SILC data, reliability data and failure times data as
well as insights to the Austrian historical development of statistics in Vienna.
The first contribution highlights some insights to the bootstrap method by artificial populations.
This approach is especially useful for teaching the concepts of the bootstrap
and extends the original work on the bootstrap from Efron.
The second contribution present an application to the Austrian SILC data to analyse material
deprivation and household income. The authors present three different MCMC methods
for Bayesian regression models on these variables.
In the third contribution, the authors propose a maximum likelihood method for estimating
the model parameters of the transmuted generalized inverse Weibull distribution.
They applied it on failure times data.
The fourth contribution take investigations in the beta transmuted Weibull distribution and
give an example on reliability data.
Finally, as last contribution, an interview with Wilfried Grossmann provides background
information on data science and statistics at the University of Vienna as well as
details on the relationship of official statistics and statistics at universities. Insights from
the development from punching cards to the software environment R and Big Data is
given.
Please note that all papers in this issue are also available online at
http://www.ajs.or.at

Statistics

http://www.ajs.or.at/index.php/ajs/issue/viewIssue/43%282%29/53