Local influence in binary regression models, and its correspondence with global influence

Autor:	N.G. Cadigan, P.J. Farrell
Rok vydání:	2000
Předmět:	Statistics and Probability Linear regression Econometrics Applied mathematics Perturbation (astronomy) Binary regression Regression analysis Statistical theory Global consistency Likelihood function Regression Mathematics
Zdroj:	Communications in Statistics - Theory and Methods. 29:349-368
ISSN:	1532-415X 0361-0926
DOI:	10.1080/03610920008832488
Popis:	We develop local influence diagnostics for a general binary regression model,and apply these methods to case-weight perturbations in four examples. In addition, we illustrate the correspondence between case-deletion diagnostics and local case-weight perturbation slopes and curvatures. We demonstrate that local influence diagnostics can provide a more computationally efficient means for obtaining analogous information to that yielded by case-deletion diagnostics, which can be thought of as global influence perturbations. We also assess the global consistency of patterns of local influence using these data examples.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e019167c1fa2db2a33e2de9429445a8c https://doi.org/10.1080/03610920008832488 Zobrazit plný text záznamu