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Cox proportional hazard model is one of the most celebrated models for analyzing lifetime data. There exists one problem when we replace the covariate effects with varying-coefficient functions. That is whether this replacement is reasonable or partially reasonable. In this paper, we propose a hypothesis testing based on the asymptotic distribution of the normalized maximum deviations, for this problem,...
Generalized linear models (GLM) are discussed in this paper, which are used widely in the field of robust parameter design involving non-normal response variables. As for the estimation problems such as data over-dispersion which exist generally in robust parameter design, the Markov chain Monte Carlo (MCMC) approach based on adaptive rejection metropolis sampling algorithm is brought forward to simulate...
It is well known that the classical regression analysis, especially parametric regression analysis, is one of the important methods of extracting information from data sets. A family of regression functions, called fuzzy c-regression models (FCRM), has been presented which can be used to characterize the linear relationship to certain types of mixed data. More generally, an effective and robust method,...
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