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Preface [a] Statistical Modelling and Risk Analysis

Pierri, Francesca; Restaino, Marialuisa; Kitsos, Christos P.; Oliveira, Teresa A.

We make available the pdf with the Book Resume. This volume covers the latest results on novel methods in Risk Analysis and assessment, with applications in Biostatistics (which is providing food for thought since the first ICRAs, covering traditional areas of RA, until now), Engineering Reliability, the Environmental Sciences and Economics. The contributions, based on lectures given at the 9th International Co...


Statistical modelling and risk analysis: selected contributions from ICRA9, Per...

Pierri, Francesca; Restaino, Marialuisa; Kitsos, Christos P.; Oliveira, Teresa A.

This volume covers the latest results on novel methods in Risk Analysis and assessment, with applications in Biostatistics (which is providing food for thought since the first ICRAs, covering traditional areas of RA, until now), Engineering Reliability, the Environmental Sciences and Economics. The contributions, based on lectures given at the 9th International Conference on Risk Analysis (ICRA 9), at Perugia, ...


Asymptotic statistical results: theory and practice

Kitsos, Christos P.; Oliveira, Amilcar

The target of this paper is to discuss the existent difference of Asymptotic Theory in Statistics comparing to Mathematics. There is a need for a limiting distribution in Statistics, usually the Normal one. Adopting the sequential principle the first-order autoregression model and the stochastic approximation are referred for their particular interest for asymptotic results.


On the computational methods in non-linear design of experiments

Kitsos, Christos P.; Oliveira, Amilcar; Kitsos, Christos P.

In this paper the non-linear problem is discussed, for point and interval computational estimation. For the interval estimation an adjusted formulation is discussed due to Beale’s measure of non-linearity. The non-linear experimental design problem is regarded when the errors of observations are assumed i.i.d. and normally distributed as usually. The sequential approach is adopted. The average-per-observation i...


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