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Titlebook: Recent Developments in Modeling and Applications in Statistics; Paulo Eduardo Oliveira,Maria da Graça Temido,Mauri Book 2013 Springer-Verl

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书目名称Recent Developments in Modeling and Applications in Statistics
编辑Paulo Eduardo Oliveira,Maria da Graça Temido,Mauri
视频video
概述Application of methodologies and modeling to describe random phenomena.A valuable resource for all those working in modeling statistical data.New models are proposed for specific topical problems.Incl
丛书名称Studies in Theoretical and Applied Statistics
图书封面Titlebook: Recent Developments in Modeling and Applications in Statistics;  Paulo Eduardo Oliveira,Maria da Graça Temido,Mauri Book 2013 Springer-Verl
描述.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..
出版日期Book 2013
关键词Estimation; Sampling; Statistical modeling; Stochastic processes; Testing statistical hypothesis
版次1
doihttps://doi.org/10.1007/978-3-642-32419-2
isbn_softcover978-3-642-42972-9
isbn_ebook978-3-642-32419-2Series ISSN 2194-7767 Series E-ISSN 2194-7775
issn_series 2194-7767
copyrightSpringer-Verlag Berlin Heidelberg 2013
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Third Order Conditions and Max-semistabilityA third order condition for distribution functions that belong to max-semistable domain of attraction is established. An extension of the third order condition introduced in Fraga Alves et al. (Math. Methods Stat. 12:155–176, 2003) is obtained for the max-semistable context.
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Studies in Theoretical and Applied Statisticshttp://image.papertrans.cn/r/image/823201.jpg
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https://doi.org/10.1007/978-3-642-32419-2Estimation; Sampling; Statistical modeling; Stochastic processes; Testing statistical hypothesis
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Improved Shape Parameter Estimation in a Discrete Weibull Modelab. 38:348–350, 1989) method of proportions. Simulations are carried out to illustrate the improvement achieved in terms of bias and mean square error. The proposed estimator is applied on a financial dataset dealing with durations between violations in a quantitative risk management environment.
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A Note on the Port Methodology in the Estimation of a Shape Second-Order Parametermalized sequence of maximum values to a nondegenerate limit. This class is based on the PORT methodology, with PORT standing for .. Consistency of such estimators is achieved under a second-order condition on the right-tail of the underlying model . and for large intermediate ranks.
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978-3-642-42972-9Springer-Verlag Berlin Heidelberg 2013
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