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Estimation of finite population domain means : a model-assisted empirical best prediction approach

Jiang, Jiming; Lahiri, P. - In: Journal of the American Statistical Association : JASA 101 (2006), pp. 301-311

Persistent link: https://www.econbiz.de/10003309731

Resampling methods in surveys

Gershunskaya, Julie; Jiang, Jiming; Lahiri, Parhasarathi - 2009

Persistent link: https://www.econbiz.de/10003879475

Best predictive small area estimation

Jiang, Jiming; Thuan Nguyen; Rao, J. Sunil - In: Journal of the American Statistical Association : JASA 106 (2011) 494, pp. 732-745

Persistent link: https://www.econbiz.de/10009268858

Sumca : simple, unified, Monte-Carlo-assisted approach to second-order unbiased mean-squared prediction error estimation

Jiang, Jiming; Torabi, Mahmoud - In: Journal of the Royal Statistical Society: Series B … 82 (2020) 2, pp. 467-485

Persistent link: https://www.econbiz.de/10012284207

Usable and precise asymptotics for generalized linear mixed model analysis and design

Jiang, Jiming; Wand, Matt P.; Bhaskaran, Aishwarya - In: Journal of the Royal Statistical Society: Series B … 84 (2021) 1, pp. 55-82

Persistent link: https://www.econbiz.de/10012810808

A Nonlinear Gauss-Seidel Algorithm for Inference About Glmm

Jiang, Jiming - 2000

A nonlinear Gauss-Seidel type algorithm is proposed for computing the maximum posterior estimates of the random effects in a generalized linear mixed model. We show that the algorithm converges in virtually all typical situations of generalized linear mixed models. A numerical example shows the...

Persistent link: https://www.econbiz.de/10014151775