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-h...Show MoreMetadata
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.
Published in: 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
Date of Conference: 15-18 December 2019
Date Added to IEEE Xplore: 05 March 2020
ISBN Information: