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Jaheen et al., 2017 - Google Patents

Bayesian prediction for progressive censored data from the Weibull-geometric model

Jaheen et al., 2017

Document ID
14176857326506300877
Author
Jaheen Z
Ali S
Publication year
Publication venue
American Journal of Mathematical and Management Sciences

External Links

Snippet

SYNOPTIC ABSRACT This article is concerned with the problem of predicting future observables from the Weibull-geometric model based on progressively Type-II censored data. The Bayes point predictors and the Bayesian prediction intervals are obtained. The …
Continue reading at www.tandfonline.com (other versions)

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    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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