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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The interval null hypothesis is considered against the two-sided hypothesis. It was shown that  p -value in interval null hypothesis can be numerically approximated by  p -value of point null when interval converges to a single point of hypothesis. However, it is not true for Bayes factor or posterior probability. When the null hypothesis is substituted to interval one,  p -value may be in the range of the posterior probability. In this case, there are a substantial differences between null point and interval null hypothesis in Bayesian measures. The results are shown in more detail in exponential distribution. But can be generalized to gamma distribution.

The numerical reconcilability of Bayesian measure and p -value in interval hypotheses is not possible in general