Stroud, J., Muler, P., and Sanso, B. (1999). Dynamic Models For SpatioTemporal Data. Technical Report 99-20, Institute of Statistics and Decision Sciences, Duke University. Home/Search Document Details and Download
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Space-Time Analysis Of Mexico City Ozone Levels - Huerta, Sansó, Stroud (2000) Self-citation (Stroud Sans) (Correct)
....poses ozone into a baseline, trend and a seasonal variation site by site. An extensive and critical review of di erent approaches of meteorological adjustment and spatio temporal estimation of ozone are discussed in Thompson et al. 1999) Other general approaches of space time modeling appear in Stroud et al. 1999), Sans o and Guenni (2000) Tonellato (1997) Wikle et al. 1999) Berliner et al. 1999) Mardia et al. 1998) among others. In the next section, we describe the data under study. In Section 3, we consider the periodicities of the ozone series using a standard Bayesian regression tool. In ....
Stroud, J., Muller, P. and Sanso, B. (1999) Dynamic models for spatio-temporal data. Technical Report Working Paper 99-20. Institute of Statistics and Decision Sciences, Duke Unversity, Durham, North Carolina.
Space and Space-Time Modeling Using Process Convolutions - Higdon (Correct)
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Stroud, J., Muler, P., and Sanso, B. (1999). Dynamic Models For SpatioTemporal Data. Technical Report 99-20, Institute of Statistics and Decision Sciences, Duke University.
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