Abstract
The nearest neighbor technique is a general, powerful, intuitively-appealing approach to nonparametric estimation problems. We offer a rudimentary survey of this method, with special attention to recent results extending the theory to dependent random sequences. The classical rainfall/runoff prediction problem serves as focus for this study, but the methodology offered potentially has much wider application.
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© 1987 D. Reidel Publishing Company, Dordrecht, Holland
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Yakowitz, S., Karlsson, M. (1987). Nearest Neighbor Methods for Time Series, with Application to Rainfall/Runoff Prediction. In: MacNeill, I.B., Umphrey, G.J., McLeod, A.I. (eds) Advances in the Statistical Sciences: Stochastic Hydrology. The University of Western Ontario Series in Philosophy of Science, vol 37. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4792-4_9
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DOI: https://doi.org/10.1007/978-94-009-4792-4_9
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