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(bootstrap_means)) # 调整后的均值估计 adjusted_mean = mean_original - bias_correction # 计算置信区间 alpha = 0.05 lower_bound = np.percentile(bootstrap_means, 100 * alpha / 2) - bias_correction upper_bound = np.percentile(bootstrap_means, 100 * (1 - alpha / 2)) - bias_correction...
Bootstrap-based confidence intervals and sampling Finally, we introduce improved confidence intervals (bias corrected and accelerated) that improve on the parametric and percentile-based bootstrap confidence ... FA Wichmann,NJ Hill - 《Perception & Psychophysics》 被引量: 1124发表: 2001年 A Review ...
Overall, the percentile- t bootstrap prediction region based on asymptotic bias-correction is found to provide highly desirable small sample properties, outperforming its alternatives in nearly all cases.Copyright 2004 John Wiley & Sons, Ltd.doi:10.1002/for.908...
Overall, the percentile- t bootstrap prediction region based on asymptotic bias-correction is found to provide highly desirable small sample properties, outperforming its alternatives in nearly all cases.Copyright 2004 John Wiley & Sons, Ltd. 展开 ...
(precipitation more than 1 mm). Similarly, the frequency of extreme hot maximum and minimum temperatures was estimated using the 95thpercentile of the two hottest months (April-May) in the region. As expected, both precipitation and temperature extremes are projected to rise in Uttar Pradesh ...
(2) we truncate the top 2% of anomaly values to the 98thpercentile value in the empirical probability distribution for each anomaly gridded dataset. Truncation avoids situations in which very low values in the denominator in Eq.2lead to very high delta values, which when applied onto WorldClim...
To examine the impact of the MVT bias correction on extreme values, we calculated the 95th percentile of the daily SST and 850-hPa wind speed during July from 1979 to 2014 (Fig. 4). The GCM (i.e. MPI-ESM1-2-HR) overestimates the high SST extremes over the...
Further, freely available R-software can be of attractive choice due to computation of various types of f2, percentile and BCa intervals. Overall, this work can enable regulatory submissions to enhance probability of similarity through appropriate selection of number of samples, technique based on ...
Percentile-based bias correction method was used in order to adjust systematic biases in all simulated precipitation fields. The present study focuses on different precipitation climate indices derived from high-resolution RCM outputs over the entire Carpathian Region and specifically two sub-regions ...