On Fitting Non-Stationary Markov Point Process Models on GLIM
暂无分享,去创建一个
[1] P. Diggle,et al. Monte Carlo Methods of Inference for Implicit Statistical Models , 1984 .
[2] Peter Hall,et al. On Confidence Intervals for Spatial Parameters Estimated from Nonreplicated Data , 1988 .
[3] Andrew B. Lawson,et al. On tests for spatial trend in a non-homogeneous Poisson process , 1988 .
[4] Adrian Baddeley,et al. Stochastic approximation of the MLE for a spatial point pattern , 1989 .
[5] Peter J. Diggle,et al. Statistical analysis of spatial point patterns , 1983 .
[6] Andrew B. Lawson,et al. GLIM and normalising constant models in spatial and directional data analysis , 1992 .
[7] A. Lawson. The statistical analysis of point events associated with a fixed point , 1991 .
[8] J. Besag,et al. Bayesian image restoration, with two applications in spatial statistics , 1991 .
[9] R. Marrs,et al. The Effect of Lupinus arboreus on the Nitrogen Status of China Clay Wastes , 1979 .
[10] B. Ripley. Statistical inference for spatial processes , 1990 .
[11] Mark Berman,et al. Approximating Point Process Likelihoods with Glim , 1992 .
[12] Scott L. Zeger,et al. Generalized linear models with random e ects: a Gibbs sampling approach , 1991 .