Space-time modeling of vertical ozone profiles
Publication
, Journal Article
Lee, J; Berger, JO
Published in: Environmetrics
September 1, 2003
Ozonesondes collect data relevant to ozone level at various altitudes. Modeling these data involves a combination of spatial and temporal modeling. The spatial component can be conveniently modeled as a four component mixture of normal distributions. The (relatively few) parameters of this mixture can then be modeled in a time-dependent fashion, via a dynamic linear model. Computations are carried out via Markov chain Monte Carlo methods. Copyright © 2003 John Wiley & Sons, Ltd.
Duke Scholars
Published In
Environmetrics
DOI
ISSN
1180-4009
Publication Date
September 1, 2003
Volume
14
Issue
6
Start / End Page
617 / 639
Related Subject Headings
- Statistics & Probability
- 49 Mathematical sciences
- 41 Environmental sciences
- 05 Environmental Sciences
- 01 Mathematical Sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Lee, J., & Berger, J. O. (2003). Space-time modeling of vertical ozone profiles. Environmetrics, 14(6), 617–639. https://doi.org/10.1002/env.608
Lee, J., and J. O. Berger. “Space-time modeling of vertical ozone profiles.” Environmetrics 14, no. 6 (September 1, 2003): 617–39. https://doi.org/10.1002/env.608.
Lee J, Berger JO. Space-time modeling of vertical ozone profiles. Environmetrics. 2003 Sep 1;14(6):617–39.
Lee, J., and J. O. Berger. “Space-time modeling of vertical ozone profiles.” Environmetrics, vol. 14, no. 6, Sept. 2003, pp. 617–39. Scopus, doi:10.1002/env.608.
Lee J, Berger JO. Space-time modeling of vertical ozone profiles. Environmetrics. 2003 Sep 1;14(6):617–639.
Published In
Environmetrics
DOI
ISSN
1180-4009
Publication Date
September 1, 2003
Volume
14
Issue
6
Start / End Page
617 / 639
Related Subject Headings
- Statistics & Probability
- 49 Mathematical sciences
- 41 Environmental sciences
- 05 Environmental Sciences
- 01 Mathematical Sciences