Exponential prediction intervals

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dc.contributor.authorPotter, Keith Rowallanen_US
dc.date.accessioned2024-08-15T17:16:34Z
dc.date.available2024-08-15T17:16:34Z
dc.date.copyright1993en_US
dc.date.issued1993
dc.degree.departmentDepartment of Mathematics and Statistics
dc.degree.levelMaster of Science M.Sc.en
dc.description.abstractThis thesis examines the development of prediction intervals for the one- and two-parameter exponential distributions. Prediction intervals arise often in life test analysis as confidence intervals for observations not yet observed. The developĀ­ment of prediction intervals for the Poisson distribution and Erlang distribution are discussed and examples of applications are presented. Tables for finding the appropriate percentiles of the derived distributions are presented in the appendices. These tables were computed using an IBM compatible platform with 486/33 and 486DX2-66 microprocessors running Microsoft Q-Basic in double precision. The percentiles for given o: levels were found using the method of bisection.en
dc.format.extent229 pages
dc.identifier.urihttps://hdl.handle.net/1828/19333
dc.rightsAvailable to the World Wide Weben_US
dc.subjectUN SDG 12: Responsible Consumption and Productionen
dc.titleExponential prediction intervalsen_US
dc.typeThesisen_US

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