Recent Developments in Modeling and Applications in Statistics

Sampling and Modeling -- Estimation -- Extremes -- Testing Statistical Hypothesis -- Models with Stochastic Differential Equations -- Stochastic Processes. .

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Bibliographic Details
Main Author:	Oliveira, Paulo Eduardo (Author)
Other Authors:	Graça Temido, Maria da (Other) , Henriques, Carla (Other) , Vichi, Maurizio (Other)
Format:	Conference Paper
Language:	English
Published:	Berlin Heidelberg Springer 2013
Series:	Studies in Theoretical and Applied Statistics SpringerLink Bücher
Volumes / Articles:	Show Volumes / Articles.
DOI:	10.1007/978-3-642-32419-2
Subjects:	Konferenzschrift > 2010 > São Pedro do Sul, Portugal Statistik
Online Access:	Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/978-3-642-32419-2 Resolving-System, lizenzpflichtig, Volltext: http://dx.doi.org/10.1007/978-3-642-32419-2 Cover: https://swbplus.bsz-bw.de/bsz375376089cov.jpg Verlag, Zentralblatt MATH, Inhaltstext: https://zbmath.org/?q=an:1254.62002 Verlag, Inhaltstext: http://deposit.dnb.de/cgi-bin/dokserv?id=4091856&prov=M&dok_var=1&dok_ext=htm Verlag, Inhaltsverzeichnis: http://d-nb.info/1024547906/04
Author Notes:	edited by Paulo Eduardo Oliveira, Maria da Graça Temido, Carla Henriques, Maurizio Vichi

Description
Summary:	Sampling and Modeling -- Estimation -- Extremes -- Testing Statistical Hypothesis -- Models with Stochastic Differential Equations -- Stochastic Processes. . 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.
Item Description:	Description based upon print version of record
Physical Description:	Online Resource
ISBN:	9783642324192
DOI:	10.1007/978-3-642-32419-2