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Recent Developments in Modeling and Applications in Statistics [electronic resource] / edited by Paulo Eduardo Oliveira, Maria da Graça Temido, Carla Henriques, Maurizio Vichi.

By: Oliveira, Paulo Eduardo [editor.].
Contributor(s): da Graça Temido, Maria [editor.] | Henriques, Carla [editor.] | Vichi, Maurizio [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Theoretical and Applied Statistics: Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: XXI, 269 p. 56 illus., 17 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642324192.Subject(s): Statistics | Distribution (Probability theory) | Mathematical statistics | Statistics | Statistics, general | Statistical Theory and Methods | Statistics for Life Sciences, Medicine, Health Sciences | Probability Theory and Stochastic ProcessesDDC classification: 519.5 Online resources: Click here to access online
Contents:
Sampling and Modeling -- Estimation -- Extremes -- Testing Statistical Hypothesis -- Models with Stochastic Differential Equations -- Stochastic Processes.  .
In: Springer eBooksSummary: 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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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.

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