The paper investigates testing whether a sequence of independent binary test outcomes matches a prediction. Building on the results of [1], we explore several composite-hypothesis tests (GLR, Rao, Wald, etc.), but find that no unbiased test exists with only one scan. We also show that, with multiple looks, unbiased testing indeed does become possible.
Testing Unbiasedness of Testing a Sequence of Tests
Marano S.
2019-01-01
Abstract
The paper investigates testing whether a sequence of independent binary test outcomes matches a prediction. Building on the results of [1], we explore several composite-hypothesis tests (GLR, Rao, Wald, etc.), but find that no unbiased test exists with only one scan. We also show that, with multiple looks, unbiased testing indeed does become possible.File in questo prodotto:
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