October 2019
Intermediate to advanced
472 pages
13h 34m
English
| ASN | Average sample number |
| BLUE | Best linear unbiased estimator |
| BLUP | Best linear unbiased prediction |
| BQUE | Best quadratic unbiased estimator |
| df | Degrees of freedom |
| iff | If and only if |
| LSE | Least squares estimator |
| LSM | Least squares method |
| MINQUE | Minimum quadratic unbiased estimator |
| ML | Maximum likelihood |
| MLE | Maximum likelihood estimator |
| MS | Mean squares |
| MSD | Mean square deviation |
| ncp | non centrality parameter |
| REML | Restricted maximum‐likelihood |
| SLRT | Sequential likelihood ratio test |
| SS | Sum of squares |
| UMP | Uniformly most powerful (test) |
| UMPU | Uniformly most powerful unbiased (test) |
| UMVUE | Uniformly minimum variance unbiased estimator |
| W.l.o.g. | Without loss of generality |