The Pyke estimator and the exponential distribution
| dc.contributor.advisor | Read, R.R. | |
| dc.contributor.author | Kelley, Hugh Allan | |
| dc.date | March 1973 | |
| dc.date.accessioned | 2012-11-13T23:52:26Z | |
| dc.date.available | 2012-11-13T23:52:26Z | |
| dc.date.issued | 1973-03 | |
| dc.identifier.uri | https://hdl.handle.net/10945/16765 | |
| dc.description.abstract | It is common to estimate a distribution by means of a step function. Such estimates can be made continuous by connecting the left points of the steps with straight line segments. In this paper, the best estimator of this class is found for data which is exponentially distributed using minimum risk. The risk is then compared with those of the sample distribution function and the Pyke estimator. | |
| dc.description.uri | http://archive.org/details/thepykeestimator1094516765 | |
| dc.language.iso | eng | |
| dc.rights | This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. | |
| dc.title | The Pyke estimator and the exponential distribution | en_US |
| dc.type | Thesis | |
| dc.contributor.secondreader | Barr, Donald R. | |
| dc.contributor.corporate | Naval Postgraduate School (U.S.) | |
| dc.contributor.department | Operations Research and Administrative Sciences | |
| dc.subject.author | Estimating distribution | en_US |
| dc.subject.author | Exponential distribution | en_US |
| dc.subject.author | Pyke estimator | en_US |
| dc.subject.author | Risk | en_US |
| dc.subject.author | Sample distribution function | en_US |
| dc.description.service | Captain, United States Army | |
| etd.thesisdegree.name | M.S. in Operations Research | |
| etd.thesisdegree.level | Masters | |
| etd.thesisdegree.discipline | Operations Research | |
| etd.thesisdegree.grantor | Naval Postgraduate School | |
| dc.description.distributionstatement | Approved for public release; distribution is unlimited. |
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