A Log-Linear Model for a Poisson Process Change Point

Loader, Clive R.

Ann. Statist., Tome 20 (1992) no. 1, p. 1391-1411 / Harvested from Project Euclid

Résumé

Many methods have been proposed for modelling nonhomogeneous Poisson processes, including change point models and log-linear models. In this paper, we use likelihood ratio tests to choose which of these models are necessary. Of particular interest is the test for the presence of a change point, for which standard asymptotic theory is not valid. Large deviation methods are applied to approximate the significance level, and power approximations are given. Confidence regions for the change point and other parameters in the model are also derived. A British coal mining accident data set is used to illustrate the methodology.

Publié le : 1992-09-14
Classification: Boundary crossing, change points, $\log$-linear model, non-nested hypothesis, Poisson process, 62M99, 60G55, 62F03

@article{1176348774,
     author = {Loader, Clive R.},
     title = {A Log-Linear Model for a Poisson Process Change Point},
     journal = {Ann. Statist.},
     volume = {20},
     number = {1},
     year = {1992},
     pages = { 1391-1411},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1176348774}
}

Loader, Clive R. A Log-Linear Model for a Poisson Process Change Point. Ann. Statist., Tome 20 (1992) no. 1, pp.  1391-1411. http://gdmltest.u-ga.fr/item/1176348774/