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A density-quantile function approach to choosing order statistics for the estimation of location and scale parameters
| dc.contributor.advisor | Parzen, Emanuel | |
| dc.creator | Eubank, Randall Lester | |
| dc.date.accessioned | 2020-01-08T17:24:15Z | |
| dc.date.available | 2020-01-08T17:24:15Z | |
| dc.date.created | 1979 | |
| dc.identifier.uri | https://hdl.handle.net/1969.1/DISSERTATIONS-140516 | |
| dc.description | Includes bibliographical references (leaves 118-119) | en |
| dc.description.abstract | Parzen (1979) has shown that the estimation of location and scale parameters by linear systematic statistics may be formulated as a problem in regression analysis of a smoothed sample quantile process. In this dissertation, a general approach to optimal spacings selection is presented that utilizes design techniques for continuous parameter time series regression developed by Sacks and Ylvisaker (1966, 1968). This methodology is applied to several common distributions. The problems of optimal order statistic selection for estimation in censored samples, for quantile estimation and for the summarizations of large data sets are also considered. | en |
| dc.format.extent | x, 120 leaves : graphs | en |
| dc.format.medium | electronic | en |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | eng | |
| dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
| dc.subject | Statistics | en |
| dc.subject | Optimal stopping (Mathematical statistics) | en |
| dc.subject | Order statistics | en |
| dc.subject | Regression analysis | en |
| dc.subject.classification | 1979 Dissertation E86 | |
| dc.subject.lcsh | Regression analysis | en |
| dc.subject.lcsh | Optimal stopping (Mathematical statistics) | en |
| dc.subject.lcsh | Order statistics | en |
| dc.title | A density-quantile function approach to choosing order statistics for the estimation of location and scale parameters | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | Statistics | en |
| thesis.degree.grantor | Texas A&M University | en |
| thesis.degree.name | Doctor of Philosophy | en |
| thesis.degree.level | Doctoral | en |
| thesis.degree.level | Doctorial | en |
| dc.contributor.committeeMember | Hartfiel, D. J. | |
| dc.contributor.committeeMember | Ringer, L. J. | |
| dc.contributor.committeeMember | Smith, W. B. | |
| dc.contributor.committeeMember | Wehrly, T. E. | |
| dc.type.genre | dissertations | en |
| dc.type.material | text | en |
| dc.format.digitalOrigin | reformatted digital | en |
| dc.publisher.digital | Texas A&M University. Libraries |
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