G. Wong

Global and Planetary Change · with Eden · 2014

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom G. Wong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Stuart Coles
  2. Ian T. Jolliffe
  3. Douglas Maraun
  4. Petra Friederichs
  5. C. Piani
  6. Andreas N. Hense
  7. Jan O. Haerter

Papers from G. Wong's perspective

Ordered by how strongly the researchers G. Wong trusts endorse each paper. Same corpus, a different order for every researcher.

  1. An Introduction to Statistical Modeling of Extreme Values
  2. Statistical Precipitation Downscaling over the Northwestern United States Using Numerically Simulated Precipitation as a Predictor
  3. Spatial‐temporal rainfall simulation using generalized linear models
  4. Statistical Downscaling of Extreme Precipitation Events Using Censored Quantile Regression
  5. Statistical bias correction for daily precipitation in regional climate models over Europe
  6. Uncertainty and Inference for Verification Measures
  7. 「Statistical Methods in the Atmospheric Sciences(2nd edition), International Geophysics Series 91」, Daniel S. Wilks著, Academic Press, 2005年11月, 648頁, $94.95, ISBN978-0-12-751966-1(本だな)
  8. Bias Correction, Quantile Mapping, and Downscaling: Revisiting the Inflation Issue
  9. Using Bayesian Model Averaging to Calibrate Forecast Ensembles
  10. An Introduction to Statistical Modeling of Extreme Values (Technometrics)

Their papers