dc.contributor.author | Spencer, John E. | |
dc.contributor.author | Largey, Ann | |
dc.date.accessioned | 2012-08-30T15:06:11Z | |
dc.date.available | 2012-08-30T15:06:11Z | |
dc.date.issued | 1993 | |
dc.identifier.citation | John E. Spencer, Ann Largey, 'Geary on inference in multiple regression and on closeness and the Taxi problem', Economic & Social Studies, 1993 | en |
dc.identifier.issn | 0012-9984 | |
dc.identifier.uri | http://hdl.handle.net/2262/64799 | |
dc.description.abstract | This paper deals with some minor aspects of Roy Geary's work. Two areas are selected
for discussion ? (a) his work with Leser on "paradoxical" situations in multiple regression and (b) his work on estimation of the unknown upper bound, N, of a uniform distribution, based on a sample of n values from that distribution. This work is explained, expanded and evaluated. The concept of "paradoxes" in multiple regression is slightly extended and applied to the case of estimating means in a multinomial situation with a known covariance matrix. Geary's estimator of N is compared with several other estimators, on the basis, inter alia, of mean squared errors, in both the cases of a continuous distribution and a discrete distribution sampling without replacement. In the latter case, a "large N minimum mean squared error" estimator is derived and assessed. | en |
dc.language.iso | en | |
dc.publisher | Economic & Social Studies | |
dc.source | Economic & Social Review | en |
dc.subject | Statistical methods | en |
dc.subject | Inference | en |
dc.subject | Regression | en |
dc.subject | Taxi problem | en |
dc.subject.other | Geary, R. C. | |
dc.title | Geary on inference in multiple regression and on closeness and the Taxi problem | |
dc.type | Journal Article | |
dc.publisher.place | Dublin | en |