Estimation of the parameters of two parallel regression lines under uncertain prior information
Article
| Article Title | Estimation of the parameters of two parallel regression lines under uncertain prior information |
|---|---|
| ERA Journal ID | 783 |
| Article Category | Article |
| Authors | |
| Author | Khan, Shahjahan |
| Journal Title | Biometrical Journal: journal of mathematical methods in biosciences |
| Journal Citation | 45 (1), pp. 73-90 |
| Number of Pages | 18 |
| Year | 2003 |
| Place of Publication | Germany |
| ISSN | 0323-3847 |
| 1521-4036 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1002/bimj.200290017 |
| Web Address (URL) | https://onlinelibrary.wiley.com/doi/10.1002/bimj.200290017 |
| Abstract | The problem of parallelism for bi-linear regression lines arises in many real life investigations. For two linear regression models with normal errors, the estimation of the |
| Keywords | two parallel regression lines; non-sample uncertain prior information; multivariate normal distribution; central and non-central chi-squared and F-distributions; maximum likelihood; restricted and preliminary test estimators; bias and quadratic risk |
| ANZSRC Field of Research 2020 | 490509. Statistical theory |
| Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
| Byline Affiliations | Department of Mathematics and Computing |
https://research.usq.edu.au/item/9xw89/estimation-of-the-parameters-of-two-parallel-regression-lines-under-uncertain-prior-information
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