|
| Chen, Xuan; Goodwin, Barry K.. |
| Our study focuses on modeling southern pine beetle (SPB) outbreaks in the southern area. The approach is to evaluate SPB outbreak frequency in a spatio-temporal framework. A block bootstrapping method with zero-inflated estimation has been proposed to construct a statistical model accounting for explanatory variables while adjusting for spatial and temporal autocorrelation. Although the bootstrap (Efron 1979) method can handle independent observations well, the strong autocorrelation of SPB outbreaks brings about a major challenge. Motivated by bootstrapping overlapping blocks method in autoregressive time series scenario (Kunsch 1989) and block bootstrapping method of dependent data from a spatial map (Hall 1985), we have developed a method to bootstrap... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Southern Pinebeetle; Block Bootstrapping; Risk and Uncertainty. |
| Ano: 2011 |
URL: http://purl.umn.edu/103668 |
