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

作者: P.J. Farrell , N.G. Cadigan

DOI: 10.1080/03610920008832488

关键词:

摘要: 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 and perturbation slopes curvatures. demonstrate that can provide more computationally efficient means obtaining analogous information yielded by diagnostics, which be thought of as global perturbations. also assess consistency patterns using data

参考文章(28)
Daryl Pregibon, Logistic Regression Diagnostics Annals of Statistics. ,vol. 9, pp. 705- 724 ,(1981) , 10.1214/AOS/1176345513
N G Cadigan, D Boulos, W M Hickey, Analysis of Subsampled Catches from Trouser Trawl Size Selectivity Studies Journal of Northwest Atlantic Fishery Science. ,vol. 19, pp. 41- 49 ,(1996) , 10.2960/J.V19.A4
Richard J. Beckman, Christopher J. Nachtsheim, R. Dennis Cook, Diagnostics for mixed-model analysis of variance Technometrics. ,vol. 29, pp. 413- 426 ,(1987) , 10.2307/1269452
Gary C. Brown, Local influence regression diagnostics for gamma data Communications in Statistics-theory and Methods. ,vol. 26, pp. 3051- 3067 ,(1997) , 10.1080/03610929708832093
Terry M. Therneau, P. McCullagh, J. A. Nelder, Generalized linear models. 2nd ed. Journal of the American Statistical Association. ,vol. 88, pp. 698- ,(1993) , 10.2307/2290358
Gilberto A. Paula, Assessing local influence in restricted regression models Computational Statistics & Data Analysis. ,vol. 16, pp. 63- 79 ,(1993) , 10.1016/0167-9473(93)90245-O
Peter McCullagh, The Conditional Distribution of Goodness-of-Fit Statistics for Discrete Data Journal of the American Statistical Association. ,vol. 81, pp. 104- 107 ,(1986) , 10.1080/01621459.1986.10478244
N.G. Cadigan, P.J. Farrell, Expected local influence in the normal linear regression model Statistics & Probability Letters. ,vol. 41, pp. 25- 30 ,(1999) , 10.1016/S0167-7152(98)00117-5
Fengchun Peng, Dipak K. Dey, Bayesian analysis of outlier problems using divergence measures Canadian Journal of Statistics-revue Canadienne De Statistique. ,vol. 23, pp. 199- 213 ,(1995) , 10.2307/3315445
N. G. Cadigan, Local influence in structural equation models Structural Equation Modeling. ,vol. 2, pp. 13- 30 ,(1995) , 10.1080/10705519509539992