Talithia Williams

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This research develops and employs a regime switching autoregressive state space model to improve current methods of accounting for bias in rainfall estimation. Typical devices used to measure rainfall, namely rain gauges and weather radars, are prone to measurement error and systematic bias. Because the data collected from these devices is used in Flood(More)
The author grants Harvey Mudd College the nonexclusive right to make this work available for noncommercial, educational purposes, provided that this copyright statement appears on the reproduced materials and notice is given that the copying is by permission of the author. To disseminate otherwise or to republish requires written permission from the author.(More)
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