Nonparametric Conditional Risk Mapping Under Heteroscedasticity
نویسندگان
چکیده
Abstract A nonparametric procedure to estimate the conditional probability that a nonstationary geostatistical process exceeds certain threshold value is proposed. The method consists of bootstrap algorithm combines simulation techniques with estimations trend and variability. local linear estimator, considering bandwidth matrix selected by takes spatial dependence into account, used trend. variability modeled estimating variance variogram from corrected residuals avoid biasses. proposed allows obtain estimates exceedance risk in non-observed locations. performance approach analyzed illustrated application real data set precipitations USA.Supplementary materials accompanying this paper appear on-line.
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ژورنال
عنوان ژورنال: Journal of Agricultural Biological and Environmental Statistics
سال: 2023
ISSN: ['1085-7117', '1537-2693']
DOI: https://doi.org/10.1007/s13253-023-00555-0