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- W2012238985 abstract "A level crossing predictor is a predictor process Y ( t ) which can be used to predict whether a specific process X ( t ) will cross a predetermined level or not. A natural criterion of how good a predictor is can be the probability that a crossing is detected a sufficient time ahead, and the number of times the predictor makes a false alarm. Suppose the process X ( t ) consists of a deterministic part A ( t ) which can be calculated with sufficient accuracy, and a stochastic part X e ( t ) which can be predicted by some statistically based predictor An example of this is the prediction of water level near a coast, when A ( t ) is a sum of known tide components. The paper develops a tool to handle the detection properties of such predictor processes when used to predict level crossings for the case when A ( t ) is periodic or is a sum of such functions." @default.
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- W2012238985 date "1979-03-01" @default.
- W2012238985 modified "2023-09-27" @default.
- W2012238985 title "Prediction of level crossings for normal processes containing deterministic components" @default.
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- W2012238985 doi "https://doi.org/10.2307/1426770" @default.
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