activity
20102016
most citedEstimators of Fractal Dimension: Assessing the Roughness of Time Series and Spatial Data

210 citations · 245 across the 5 of their papers we have counts for

collaborators

5 papers

physics.ao-ph2016

Evaluating Effectiveness of DART Buoy Networks

Donald B. Percival, Donald W. Denbo, Edison Gica +4

A performance measure for a DART tsunami buoy network has been developed. The measure is based on a statistical analysis of simulated forecasts of wave heights outside an impact si…

stat.ME2016★ 12 cited

Exact Simulation of Noncircular or Improper Complex-Valued Stationary Gaussian Processes using Circulant Embedding

Adam M. Sykulski, Donald B. Percival

This paper provides an algorithm for simulating improper (or noncircular) complex-valued stationary Gaussian processes. The technique utilizes recently developed methods for multiv…

physics.ao-ph2014★ 13 cited

Detiding DART buoy data for real-time extraction of source coefficients for operational tsunami forecasting

Donald B. Percival, Donald W. Denbo, Marie C. Eble +6

U.S. Tsunami Warning Centers use real-time bottom pressure (BP) data transmitted from a network of buoys deployed in the Pacific and Atlantic Oceans to tune source coefficients of…

stat.ME2011★ 210 cited

Estimators of Fractal Dimension: Assessing the Roughness of Time Series and Spatial Data

Tilmann Gneiting, Hana Ševčíková, Donald B. Percival

The fractal or Hausdorff dimension is a measure of roughness (or smoothness) for time series and spatial data. The graph of a smooth, differentiable surface indexed in $\mathbb{R}^…

stat.ME2010★ 10 cited

Assessing Characteristic Scales Using Wavelets

Michael J. Keim, Donald B. Percival

Characteristic scale is a notion that pervades the geophysical sciences, but it has no widely accepted precise definition. The wavelet transform decomposes a time series into coeff…