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[1] M. Rosenblatt. Remarks on a Multivariate Transformation , 1952 .
[2] R. Ghanem,et al. Stochastic Finite Elements: A Spectral Approach , 1990 .
[3] J. Mann. The spatial structure of neutral atmospheric surface-layer turbulence , 1994, Journal of Fluid Mechanics.
[4] R. Caflisch,et al. Quasi-Monte Carlo integration , 1995 .
[5] Steven R. Winterstein,et al. Relating Turbulence to Wind Turbine Blade Loads: Parametric Study with Multiple Regression Analysis , 1998 .
[6] Lance Manuel,et al. PARAMETRIC MODELS FOR ESTIMATING WIND TURBINE FATIGUE LOADS FOR DESIGN , 2000 .
[7] J. Mann. The spectral velocity tensor in moderately complex terrain , 2000 .
[8] Richard J. Beckman,et al. A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code , 2000, Technometrics.
[9] Thomas J. Santner,et al. Design and analysis of computer experiments , 1998 .
[10] David Hinkley,et al. Bootstrap Methods: Another Look at the Jackknife , 2008 .
[11] Anand Natarajan,et al. Gaussian vs non‐Gaussian turbulence: impact on wind turbine loads , 2014 .
[12] Gunner Chr. Larsen,et al. Probabilistic Meteorological Characterization for Turbine Loads , 2014 .
[13] Anand Natarajan,et al. Model of wind shear conditional on turbulence and its impact on wind turbine loads , 2015 .
[14] Colas Schretter,et al. Monte Carlo and Quasi-Monte Carlo Methods , 2016 .
[15] Anand Natarajan,et al. Effects of normal and extreme turbulence spectral parameters on wind turbine loads , 2017 .
[16] David Schlipf,et al. Wind field reconstruction from nacelle-mounted lidar short-range measurements , 2017 .
[17] M. Kelly. From standard wind measurements to spectral characterization: turbulence length scale and distribution , 2018 .
[18] John Dalsgaard Sørensen,et al. Uncertainty propagation through an aeroelastic wind turbine model using polynomial surrogates , 2018 .