March 2018
Beginner
688 pages
17h 32m
English
| ASN | average sample number |
| BAN | best asymptotic normal (estimator) |
| BIBD | balanced incomplete block design |
| BLUE | best linear unbiased estimator |
| BLUP | best linear unbiased prediction |
| BQUE | best quadratic unbiased estimator |
| df | degrees of freedom |
| iff | if and only if |
| LS | Latin square |
| LSE | least squares estimator |
| LSM | least squares method |
| LVUE | locally variance‐optimal unbiased estimator |
| MINQUE | minimum quadratics norm estimator |
| ML | maximum likelihood |
| MLE | maximum likelihood estimator |
| MS | mean squares |
| MSD | mean square deviation |
| PBIBD | partially balanced incomplete block design |
| RCD | row–column design |
| REML | restricted maximum likelihood |
| SLRT | sequential likelihood ratio test |
| SS | sum of squares |
| UMP | uniformly most powerful (test) |
| UMPU | uniformly most powerful unbiased (test) |
| UVUE | uniformly variance‐optimal unbiased estimator |
| W.l.o.g. | without loss of generality |
| YD | Youden design |
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