eternal
发表于 2025-3-21 18:23:50
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尽责
发表于 2025-3-21 22:09:56
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Agronomy
发表于 2025-3-22 01:44:44
An Introduction to Parametric InferenceIn the preceding chapters, we emphasized the visual viewpoint of representing data and fitting parametric distributions to the data. This is the exploratory approach to analyzing data. In the present chapter, we will add some parametric estimation and test procedures which have been partially deduced from the visual ones.
埋葬
发表于 2025-3-22 07:48:39
Extreme Value ModelsThis chapter is devoted to statistical procedures in parametric extreme value (EV) models which are especially designed for maxima. It is worth recalling that minima can be dealt with by changing the sign of the data.
lipoatrophy
发表于 2025-3-22 09:56:24
Advanced Statistical AnalysisSection 6.1 provides a discussion about non-random and random censoring. Especially, the sample df is replaced by the Kaplan-Meier estimate in the case of randomly censored data.
ENACT
发表于 2025-3-22 12:54:06
Basic Multivariate Concepts and VisualizationThis chapter serves as a short introduction to certain probabilistic and statistical concepts in the multivariate framework. The multivariate extreme value analysis will be dealt with in the subsequent chapter.
危机
发表于 2025-3-22 19:38:13
Multivariate MaximaMultivariate extreme value (EV) distributions are introduced as limiting distributions of componentwise taken maxima. In contrast to the univariate case, the resulting statistical model is a nonparametric one. Estimation in certain parametric EV submodels will be investigated.
缩影
发表于 2025-3-22 22:24:01
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思想上升
发表于 2025-3-23 02:50:25
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Occupation
发表于 2025-3-23 09:21:15
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