Statistics has been a main tool in almost every field of activity and an essential part of applied scientific work, supporting conclusions and offering insights into new uses for established methodologies, thus making it a valuable resource in looking for faceless facts. Model construction describing populations or phenomena subject to randomness use a wide range of methods. Data collection provides the basis for modelling and assumption verification. Modelling must be conducted using suitable techniques that give researchers the means to search for hidden facts or behaviours. This may be addressed by fitting pre-defined shapes and distributions to the data or by allowing the data to reveal its intrinsic properties by using nonparametric methods. This volume contains a selection of contributions presented at the XVIII Annual Congress of the Portuguese Statistical Society.
This volume contains contributions presented at the XVIII Annual Congress of the Portuguese Statistical Society. It presents new models for specific topical problems and will be a valuable resource for all those working in modeling statistical data.
Sampling and Modeling.- Estimation.- Extremes.- Testing Statistical Hypothesis.- Models with Stochastic Differential Equations.- Stochastic Processes.
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From the book reviews:
There are 26 papers in this volume and it is organized in six parts & . The volume is reasonably well organized and structured. & The volume presents both applied and theoretical papers for practitioners and researchers, respectively. The volume can be also be regarded as a reference book. The papers in the volume are intended for a wide readership. (S. E. Ahmed, Technometrics, Vol. 55 (3), August, 2013)
Paulo Eduardo Oliveira: PhD in 1991 at Universit? Lille I, France. Full professor at the Dept. of Mathematics at the Univ. of Coimbra since 2004. Has been a member of the Board of tlƒ*
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