Ranking — where it appears
Named by 2 essays across 2 fields — each of them below, with the objects they name alongside it.
The weight that is a vector
Two forecasts have a best combination and one number describes it. Eight have a best combination too, and the vector describing it puts nothing at all on the forecast with the smallest mean squared error.
A league table of a hundred
A hundred groups with sizes from 4 to 400, and a top ten to publish. Ranked by their own means, small groups fill 62.1% of the top ten against their 36.3% share of the true top ten. Ranked by posterior means they fill 13.4%. The ranking built from each group's chance of being in the top ten recovers 5.47 of the true ten, the best of three and barely half; and the group ranked first could hold any rank from 1 to 31.
Named alongside it
The objects these essays reach for when they reach for this one.
ShrinkageAutocorrelationBenchmark forecastCombination weightCovariance matrixEstimation errorForecast combinationForecast encompassingHierarchical modelLeague tableMean squared errorModel selection