English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Often, it is required to estimate the probability that a quantity such astoxicity level, plutonium, temperature, rainfall, damage, wind speed, wavesize, earthquake magnitude, risk, etc., exceeds an unsafe high threshold. Theprobability in question is then very small. To estimate such a probability,information is needed about large values of the quantity of interest. However,in many cases, the data only contain values below or even far below thedesignated threshold, let alone exceedingly large values. It is shown that byrepeated fusion of the data with externally generated random data, moreinformation about small tail probabilities is obtained with the aid of certainnew statistical functions. This provides relatively short, yet reliableinterval estimates based on moderately large samples. A comparison of theapproach with a method from extreme values theory (Peaks over Threshold, orPOT), using both artificial and real data, points to the merit of repeated outof sample fusion.

Repeated out of Sample Fusion in the Estimation of Small Tail Probabilities