| dc.contributor.creator | O'Driscoll, Diarmuid | |
| dc.contributor.creator | Ramirez, Donald E. | |
| dc.date.accessioned | 2018-12-10T12:50:19Z | |
| dc.date.available | 2018-12-10T12:50:19Z | |
| dc.date.issued | 2011 | |
| dc.identifier.citation | O'Driscoll, D. and Ramirez, D.E. (2011) 'Moment estimation of measurement errors.' NEDETAS Conference Proceedings (2011) 52–57. | en_US |
| dc.identifier.other | https://www.researchgate.net/publication/265349587_MOMENT_ESTIMATION_OF_MEASUREMENT_ERRORS | |
| dc.identifier.uri | http://hdl.handle.net/10395/2539 | |
| dc.description | Moment estimation of measurement errors. | en_US |
| dc.description.abstract | The slope of the best-fit line from minimizing a function of the squared vertical and horizontal errors is the root of a polynomial of degree four. We use second order and fourth order moment equations to estimate the ratio of the variances of errors in the measurement error model and this estimate is used to introduce two new estimators. A simulation study shows improvement in bias and mean squared error of each of these new estimators over the ordinary least squares estimator. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | NEDETAS | en_US |
| dc.rights.uri | https://www.researchgate.net/publication/265349587_MOMENT_ESTIMATION_OF_MEASUREMENT_ERRORS | en_US |
| dc.subject | Measurement errors | en_US |
| dc.subject | Maximum likelihood estimation | en_US |
| dc.subject | Moment estimating equations | en_US |
| dc.subject | Oblique estimators | en_US |
| dc.title | Moment estimation of measurement errors | en_US |
| dc.type | Conference report | en_US |
| dc.type.supercollection | all_mic_research | en_US |
| dc.description.version | No | en_US |
