Recent Developments in Modeling and Applications in Statistics

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 describin...

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Diğer Yazarlar: Oliveira, Paulo Eduardo (Yayın yönetmeni), da Graça Temido, Maria (Yayın yönetmeni), Henriques, Carla (Yayın yönetmeni), Vichi, Maurizio (Yayın yönetmeni)
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: Berlin, Heidelberg : Springer Berlin Heidelberg 2013.
Cham : Springer Nature
Seri Bilgileri:Selected Papers of the Statistical Societies
Online Erişim:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Not: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Recent Developments in Modeling and Applications in Statistics, Texte imprimé, 9783642324185
• Recent Developments in Modeling and Applications in Statistics, Texte imprimé, 9783642324208
• Recent Developments in Modeling and Applications in Statistics, Texte imprimé, 9783642429729
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245 0 0 |a Recent Developments in Modeling and Applications in Statistics   |c edited by Paulo Eduardo Oliveira, Maria da Graça Temido, Carla Henriques, Maurizio Vichi. 
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505 0 |a Sampling and Modeling -- Estimation -- Extremes -- Testing Statistical Hypothesis -- Models with Stochastic Differential Equations -- Stochastic Processes.  . 
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520 |a 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 modeling and assumption verification. Modeling must be conducted using suitable techniques that give researchers the means to search for hidden facts or behaviors. 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. 
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700 1 |a da Graça Temido, Maria.  |4 pbd 
700 1 |a Henriques, Carla.  |4 pbd 
700 1 |a Vichi, Maurizio.  |4 pbd 
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