Andrew T.A. Wood
Andrew T.A. Wood
Professor of Statistics, University of Nottingham
Verified email at - Homepage
Cited by
Cited by
Simulation of stationary Gaussian processes in [0, 1] d
ATA Wood, G Chan
Journal of computational and graphical statistics 3 (4), 409-432, 1994
Simulation of the von Mises Fisher distribution
ATA Wood
Communications in statistics-simulation and computation 23 (1), 157-164, 1994
Estimating the fractal dimension of a locally self-similar Gaussian process by using increments
JT Kent, ATA Wood
Journal of the Royal Statistical Society. Series B (Methodological), 679-699, 1997
Laplace approximations for hypergeometric functions with matrix argument
RW Butler, ATA Wood
The Annals of Statistics 30 (4), 1155-1177, 2002
Transcriptional dynamics of two seed compartments with opposing roles in Arabidopsis seed germination
BJW Dekkers, S Pearce, RP van Bolderen-Veldkamp, A Marshall, ...
Plant physiology 163 (1), 205-215, 2013
Saddlepoint approximations to the CDF of some statistics with nonnormal limit distributions
ATA Wood, JG Booth, RW Butler
Journal of the American Statistical Association 88 (422), 680-686, 1993
Towards the systematic simplification of mechanistic models
GM Cox, JM Gibbons, ATA Wood, J Craigon, SJ Ramsden, NMJ Crout
Ecological modelling 198 (1), 240-246, 2006
On the performance of box-counting estimators of fractal dimension
P Hall, A Wood
Biometrika 80 (1), 246-251, 1993
Saddlepoint approximations for the Bingham and Fisher–Bingham normalising constants
A Kume, ATA Wood
Biometrika 92 (2), 465-476, 2005
Algorithm AS 312: An Algorithm for simulating stationary Gaussian random fields
G Chan, ATA Wood
Journal of the Royal Statistical Society: Series C (Applied Statistics) 46 …, 1997
Simulation of stationary Gaussian vector fields
G Chan, ATA Wood
Statistics and computing 9 (4), 265-268, 1999
Is my model too complex? Evaluating model formulation using model reduction
NMJ Crout, D Tarsitano, AT Wood
Environmental modelling & software 24 (1), 1-7, 2009
Multivariate L-estimation
R Fraiman, J Meloche, LA García-Escudero, A Gordaliza, X He, ...
Test 8 (2), 255-317, 1999
Pivotal bootstrap methods for k-sample problems in directional statistics and shape analysis
GJA Amaral, IL Dryden, ATA Wood
Journal of the American Statistical Association 102 (478), 695-707, 2007
A guideline to family-wide comparative state-of-the-art quantitative RT-PCR analysis exemplified with a Brassicaceae cross-species seed germination case study
K Graeber, A Linkies, ATA Wood, G Leubner-Metzger
The Plant Cell Online 23 (6), 2045-2063, 2011
Increment-based estimators of fractal dimension for two-dimensional surface data
G Chan, ATA Wood
Statistica Sinica 10 (2), 343-376, 2000
Improved pivotal methods for constructing confidence regions with directional data
NI Fisher, P Hall, BY Jing, ATA Wood
Journal of the American Statistical Association 91 (435), 1062-1070, 1996
Exact and approximate distributions of protein and mRNA levels in the low-copy regime of gene expression
P Bokes, JR King, ATA Wood, M Loose
Journal of mathematical biology 64 (5), 829-854, 2012
An F Approximation to the Distribution of a Linear Combination of Chi-squared Variables.
ATA Wood
Communications in Statistics-Simulation and Computation 18 (4), 1439-1456, 1989
Exponential empirical likelihood is not Bartlett correctable
BY Jing, ATA Wood
The Annals of Statistics 24 (1), 365-369, 1996
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