https://socictopen.socict.org/files/original/6efb191ab1f13d1a19cebf5f172f54a4.pdf 2de62870b69f77da37b9db61cedc7984 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A New Discrete Analog of the Continuous Lindley Distribution, with Reliability Applications Creator An entity primarily responsible for making the resource Ahmed Z. Afify, Abdulhakim A. Al-babtain, Abdul Hadi N. Ahmed Description An account of the resource In this paper, we propose and study a new probability mass function by creating a natural discrete analog to the continuous Lindley distribution as a mixture of geometric and negative binomial distributions. The new distribution has many interesting properties that make it superior to many other discrete distributions, particularly in analyzing over-dispersed count data. Several statistical properties of the introduced distribution have been established including moments and moment generating function, residual moments, characterization, entropy, estimation of the parameter by the maximum likelihood method. A bias reduction method is applied to the derived estimator; its existence and uniqueness are discussed. Applications of the goodness of fit of the proposed distribution have been examined and compared with other discrete distributions using three real data sets from biological sciences. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource estimation, extreme values, negative binomial distribution, mean residual life, discrete Lindley analog, COVID-19 data Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/e22060603 Source A related resource from which the described resource is derived Entropy Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Science, Astrophysics, Physics