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 Tools annual

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 monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Flexibility in shape and scale of Burr XII distribution can make closeapproximation of numerous well-known probability density functions. Due tothese capabilities, the usages of Burr XII distribution are applied in riskanalysis, lifetime data analysis and process capability estimation. In thispaper the Cross-Entropy (CE) method is further developed in terms of MaximumLikelihood Estimation (MLE) to estimate the parameters of Burr XII distributionfor the complete data or in the presence of multiple censoring. A simulationstudy is conducted to evaluate the performance of the MLE by means of CE methodfor different parameter settings and sample sizes. The results are compared toother existing methods in both uncensored and censored situations.

A computational method for estimating Burr XII parameters with complete and multiple censored data