Estimating long-term trends in tropospheric ozone levels

International Statistical Review

Volumn 70, Issue 1, 2002, Pages 99-124

  Smith, Michael ^a   Yau, Paul ^b   Shively, Thomas ^c   Kohn, Robert ^b  

^a UNIVERSITY OF SYDNEY   (Australia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

^c UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

Autoregression with unequally spaced data; Bayesian model averaging; Bayesian semiparametric regression; Data transformation; Markov chain Monte Carlo; Nonparametric regression; Radial bases

Indexed keywords

EID: 0036545023     PISSN: 03067734     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1751-5823.2002.tb00351.x     Document Type: Article

References (47)

1. An international cooperative programme indicates the widespread occurence of ozone injury on crops
2. Accounting for meteorological effects in measuring urban ozone levels and trends
3. An analysis of transformations revisited, rebutted
4. Ozone exposure and population density in Harris County, Texas
5. Local regression models
6. Meteorologically adjusted ozone trends in Urban Area: A probability approach
7. Modeling ozone in the Chicago urban area
8. Regional and temporal models for ozone along the gulf coast
9. Modeling the effects of meteorology on ozone in Houston using cluster analysis and generalized additive models
10. Automatic bayesian curve fitting
11. Recent advances in semiparametric Bayesian function estimation
12. Benchmark priors for Bayesian model averaging
13. Multivariate adaptive regression splines
14. Statistical surface ozone models: An improved methodology to account for non-linear behaviour
15. Meteorologically adjusted trends in UK daily maximum surface ozone concentrations
16. Variable selection via Gibbs sampling
17. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
18. The computation of GCV functions through Householder tridiagonalization with application to the fitting of interaction spline models
19. Monte Carlo sampling methods using Markov chains and their applications
20. Meteorologically-dependent trends in urban ozone
21. Bayesian radial basis functions of variable dimension
22. Nonparametric regression using linear combination of basis functions
23. Hybrid adaptive splines
24. Effects of different ozone exposure regimes on photosynthesis assimilates and thousand grain weight in spring wheat
25. Nonlinear additive models for environmental time series, with applications to ground-level ozone data analysis
26. Fractional Bayes factors for model comparison (with discussion)
27. Radial basis functions for multivariate interpolation: A review
28. Bayesian model averaging for linear regression models
29. A semiparametric regression approach to adjusting for meteorological variables in air pollution trends
30. Extreme value analysis of environmental time series: An application to trend direction in ground-level ozone (with discussion)
31. Airborne particles and mortality
32. Nonparametric regression via Bayesian variable selection
33. A Bayesian approach to nonparametric bivariate regression
34. Nonparametric seemingly unrelated regression
35. A point process approach to modelling trends in tropospheric ozone based on exceedances of a high threshold
36. Additive nonparametric regression with autocorrelated errors
37. A review of statistical methods for the meteorological adjustment of tropospheric ozone
38. A neural network model forecasting for prediction of daily maximum ozone concentration in an industrialized urban area