Estimating precipitation extremes using the log‐histospline-Reference-Cited by-同舟云学术

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Estimating precipitation extremes using the log‐histospline

Published:2018-11-14 Issue:4 Volume:30 Page:e2543
ISSN:1180-4009
Container-title:Environmetrics
language:en
Short-container-title:Environmetrics

Author:

Huang Whitney K.¹,Nychka Douglas W.²,Zhang Hao³

Affiliation:

1. Statistical and Applied Mathematical Sciences Institute, Pacific Climate Impacts ConsortiumUniversity of Victoria Victoria Canada

2. Department of Applied Mathematics and StatisticsColorado School of Mines Golden Colorado

3. Department of StatisticsPurdue University West Lafayette Indiana

Funder

National Science Foundation

Publisher

Wiley

Subject

Ecological Modeling,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2543

Reference64 articles.

1. Water Science and Technology Library;AghaKouchak A.,2012

2. Global observed changes in daily climate extremes of temperature and precipitation

3. Residual Life Time at Great Age

4. Spline transformations: Three new diagnostic aids for the statistical data‐analyst;Boneva L. I.;Journal of the Royal Statistical Society. Series B (Methodological),1971

5. Equivalence theory for density estimation, Poisson processes and Gaussian white noise with drift

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