Second frequency moment — where it appears
Named by 3 essays across 3 fields — each of them below, with the objects they name alongside it.
Also named here as tug-of-war — the same set of essays touches all of them, so they are one junction rather than several.
The estimate that squares the stream
The length of a stream is a counter and the number of distinct keys is a register bank. The sum of the squared frequencies has nothing obvious to count — and one number, one sign per key, and a squaring get within 4% of it in a fortieth of the space.
The independence an estimator spends
Every sketch's analysis begins by assuming a truly random hash, and nobody comes back to that line. Independence has a degree, the degree is enumerable over a small field, and an estimator's mean and its variance spend different amounts of it.
A sketch that is allowed to be under
Count-Min's estimate is never below the truth, and it pays for that with an error proportional to the whole stream. Give every key a sign and take a median instead, and the same table is 2.7 times more accurate on the keys anybody asks about — and wrong in both directions.
Named alongside it
The objects these essays reach for when they reach for this one.
EstimatorTug-of-warUnbiased estimatorHash familyMedian of meansSketchState bitsVarianceZipf distributionAdditive errorAdversarial inputCount-Min sketch