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 |
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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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