DTEI 2015 - 5th Symposium on Distribution Theory, Estimation and Inference

The Symposium is aimed to deal with a broad range of theoretical and applied questions occurring in statistical practice and concerning Distribution Theory, Estimation, and Inference, which may be considered as the three main cornerstones or building blocks of statistics. Others would say they rather intertwine themselves to make the essence of Statistics. Indeed, in one way or another they are ubiquitous in any research in statistics, either theoretical or applied.
They have always been essential parts of the fundamental bases of all aspects associated with statistical studies. In many inferential processes, new and important results on the exact, asymptotic, or near-exact distributions of the associated test statistics and parameter estimators have been applied with considerable success in multivariate analysis; linear, nonlinear, and mixed models; order statistics; and extreme value theory. Also, recent results in estimation, combined with other new results in distribution theory and inference, have made major contributions to a broad spectrum of statistical techniques. (in Preface of the Special Issue of Journal of Statistical Theory and Practice on ‘Distribution Theory, Estimation and Inference’, Vol. 9, Issue 1, 2015.)
This Symposium will cover topics on Univariate and Multivariate Analysis, Linear and Nonlinear Models, Order Statistics and Extreme Value Theory, which are key areas where works on the study of the exact, asymptotic or near-exact distributions of the associated test statistics and parameter estimators, as well as all aspects related with Estimation and Inference (as, e.g. contour sets and generating functions), are fields of major importance.
Topics on Distribution Theory may cover areas as:
Symmetric distributions
Skewed distributions
Directional distributions
Limit distributions
Methods for constructing distributions
Simulation of distributions
Asymptotic analysis of distributions
Estimation and Testing related issues