ODD GENERALIZED EXPONENTIAL-INVERSE-EXPONENTIAL DISTRIBUTION: IT’S PROPERTIES AND APPLICATIONS

dc.contributor.authorABBA, Badamasi
dc.date.accessioned2018-09-11T10:19:18Z
dc.date.available2018-09-11T10:19:18Z
dc.date.issued2017-11
dc.descriptionA THESIS SUBMITTED TO THE SCHOOL OF POSTGRADUATE STUDIES, AHMADU BELLO UNIVERSITY, ZARIA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE AWARD OF MASTER OF SCIENCE DEGREE IN STATISTICS DEPARTMENT OF STATISTICS, FACULTY OF PHYSICAL SCIENCES AHMADU BELLO UNIVERSITY, ZARIA, NIGERIAen_US
dc.description.abstractThere remain many problems in real life where observed data do not follow any of the well-known probability models. To address this, there is then, a strong need to propose probability models to better capture the behaviour of some real-life phenomenon. In this dissertation, we propose a new lifetime distribution, called the Odd Generalized Exponential-Inverse-Exponential Distribution (OGE-IED) based on the odd generalized exponential generator proposed in earlier study. The statistical properties of the new distribution are studied along with its reliability functions and limiting behaviour. Also the distribution parameters were estimated using the method of maximum likelihood. We illustrate the flexibility of the proposed model by application to real data and concluded that the OGE-IED provides the best fit among the competing distributions. Finally, we recommend that this distribution can be used in modelling time-dependent events, systems, components or random variablesen_US
dc.identifier.urihttp://hdl.handle.net/123456789/10373
dc.language.isoenen_US
dc.subjectODD GENERALIZED EXPONENTIAL-INVERSE-EXPONENTIAL DISTRIBUTION,en_US
dc.subjectPROPERTIES,en_US
dc.subjectAPPLICATIONSen_US
dc.titleODD GENERALIZED EXPONENTIAL-INVERSE-EXPONENTIAL DISTRIBUTION: IT’S PROPERTIES AND APPLICATIONSen_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ODD GENERALIZED EXPONENTIAL-INVERSE-EXPONENTIAL DISTRIBUTION IT’S PROPERTIES AND APPLICATIONS.pdf
Size:
1.42 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.62 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections