Spatial extremes: Models for the stationary case
نویسندگان
چکیده
منابع مشابه
Nonparametric Spatial Models for Extremes:
Estimating the probability of extreme temperature events is difficult because of limited records across time and the need to extrapolate the distributions of these events, as opposed to just the mean, to locations where observations are not available. Another related issue is the need to characterize the uncertainty in the estimated probability of extreme events at different locations. Although...
متن کاملSpatial models for the distribution of extremes
Statistical models for the occurrence of extreme or rare events has been applied in a variety of areas, but little work has been done in extending these ideas to spatial data sets. Here, a brief introduction to the theory of extreme-value statistics is given, and a hierarchical Bayesian framework is used to incorporate a spatial component into the model. Two examples are used to motivate the ap...
متن کاملthe application of multivariate probit models for conditional claim-types (the case study of iranian car insurance industry)
هدف اصلی نرخ گذاری بیمه ای تعیین نرخ عادلانه و منطقی از دیدگاه بیمه گر و بیمه گذار است. تعین نرخ یکی از مهم ترین مسایلی است که شرکتهای بیمه با آن روبرو هستند، زیرا تعیین نرخ اصلی ترین عامل در رقابت بین شرکتها است. برای تعیین حق بیمه ابتدا می باید مقدار مورد انتظار ادعای خسارت برای هر قرارداد بیمه را برآورد کرد. روش عمومی مدل سازی خسارتهای عملیاتی در نظر گرفتن تواتر و شدت خسارتها می باشد. اگر شر...
15 صفحه اولNonparametric Spatial Models for Extremes: Application to Extreme Temperature
Estimating the probability of extreme temperature events is difficult because of limited records across time and the need to extrapolate the distributions of these events, as opposed to just the mean, to locations where observations are not available. Another related issue is the need to characterize the uncertainty in the estimated probability of extreme events at different locations. Although...
متن کاملNonparametric Spatial Models for Extremes: Application to Extreme Temperature Data.
Estimating the probability of extreme temperature events is difficult because of limited records across time and the need to extrapolate the distributions of these events, as opposed to just the mean, to locations where observations are not available. Another related issue is the need to characterize the uncertainty in the estimated probability of extreme events at different locations. Although...
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ژورنال
عنوان ژورنال: The Annals of Statistics
سال: 2006
ISSN: 0090-5364
DOI: 10.1214/009053605000000886