Bootstrap confidence intervals for predicted rainfall quantiles

Peter K. Dunn

doi:10.1002/joc.596

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Bootstrap confidence intervals for predicted rainfall quantiles

Peter K. Dunn

Year: 2001 Journal: International Journal of Climatology Vol: 21 (1)Pages: 89-94 Publisher: Wiley

DOI: 10.1002/joc.596

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Abstract

Abstract Rainfall probability charts have been used to quantify the effect of the Southern Oscillation Index (SOI) on rainfall for many years. To better understand the effect of the SOI phases, we discuss forming confidence intervals on the predicted rainfall quantiles using percentile bootstrap methods. Copyright © 2001 Royal Meteorological Society

Keywords:

Quantile Percentile Confidence interval Climatology Environmental science Robust confidence intervals El Niño Southern Oscillation Statistics Index (typography) Mathematics Geology Computer science

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Hydrology and Drought Analysis

Physical Sciences → Environmental Science → Global and Planetary Change

Climate variability and models

Physical Sciences → Environmental Science → Global and Planetary Change

Financial Risk and Volatility Modeling

Social Sciences → Economics, Econometrics and Finance → Finance

Bootstrap confidence intervals for predicted rainfall quantiles

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