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pro vyhledávání: '"Jiming Jiang"'
Publikováno v:
Journal of Statistical Planning and Inference. 220:15-23
Autor:
Mahmoud Torabi, Jiming Jiang
Publikováno v:
Journal of Statistical Planning and Inference. 208:82-93
Policy decisions regarding allocation of resources to subgroups in a population, called small areas, are based on reliable predictors of their underlying parameters. However, the information is collected at a different scale than these subgroups. Hen
Publikováno v:
Journal of Statistical Planning and Inference. 207:45-54
We develop a new method for classified mixed model prediction (CMMP). The original CMMP method ( Jiang et al., 2018b ) does not incorporate covariate information in matching the class between the new observations and the training data. As a result, t
Autor:
Jiming Jiang
Publikováno v:
Journal of Statistical Planning and Inference. 115:69-84
In many cases, methods of estimating a vector of parameters are well-developed, but for some reason such as evaluating the precision of the estimators knowledge about an additional vector of parameters is needed. In this paper, we propose a method, w
Autor:
Jiming Jiang
Publikováno v:
Journal of Statistical Planning and Inference. 111:117-127
The paper introduces a frequentist's alternative to the recently developed hierarchical Bayes methods for small-area estimation using generalized linear mixed models. Specifically, the best predictor and empirical best predictor (EBP) of small area s