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Lin Jinguan Wei Bocheng Zhang Nansong Dept.of Math.& Comput.Sci. Jiangsu Institute of Education Jiangsu China. Dept of Math. Southeast Univ. Jiangsu China. Dept of Math. Zhejiang Univ. Zhejiang China. 《高校应用数学学报(英文版)》2003,18(3):294-302
§ 1 Introduction and modelsThe general form of exponential family nonlinear models isg(μi) =f(xi,﹀) , (1 )where,g(· ) is a monotonic link function,f is a known differentiable nonlinear functionand﹀ is a p-vectoroffixed population parameters;μi=E(yi) and the density of response yiisp(yi) =exp{[yiθi -b(θi) -c(yi) ] -12 a(yi,) } ,(2 )whereθi is the natural parameter, is the dispersion parameter.From [1 1 ] ,μi=b(θi) ,Vi=Var(yi) =- 1 b(θi) .If f(xi,β) =x Ti ﹀,then mod… 相似文献
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TESTING FOR VARYING DISPERSION OF LONGITUDINAL BINOMIAL DATA IN NONLINEAR LOGISTIC MODELS WITH RANDOM EFFECTS 总被引:1,自引:0,他引:1
In this paper, it is discussed that two tests for varying dispersion of binomial data in the framework of nonlinear logistic models with random effects, which are widely used in analyzing longitudinal binomial data. One is the individual test and power calculation for varying dispersion through testing the randomness of cluster effects, which is extensions of Dean(1992) and Commenges et al (1994). The second test is the composite test for varying dispersion through simultaneously testing the randomness of cluster effects and the equality of random-effect means. The score test statistics are constructed and expressed in simple, easy to use, matrix formulas. The authors illustrate their test methods using the insecticide data (Giltinan, Capizzi & Malani (1988)). 相似文献
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Bo-Cheng Wei Jian-Qing Shi Wing-Kam Fung Yue-Qing Hu 《Annals of the Institute of Statistical Mathematics》1998,50(2):277-294
A diagnostic model and several new diagnostic statistics are proposed for testing for varying dispersion in exponential family nonlinear models. A score statistic and an adjusted score statistic based on Cox and Reid (1987, J. Roy. Statist. Soc. Ser. B, 55, 467-471) are derived in normal, inverse Gaussian, and gamma nonlinear models. An adjusted likelihood ratio statistic is also given for normal and inverse Gaussian nonlinear models. The results of simulation studies are presented, which show that the adjusted tests keep their sizes better and are more powerful than the ordinary tests. 相似文献
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该文基于Laplace逼近建立了非线性再生散度随机效应模型在Euclid空间中的几何结构, 并在此基础上研究了此模型参数和子集参数的置信域, 进一步推广和发展了 Hamilton, Watts 和 Bates[1]关于正态非线性回归模型, Wei[2,3]关于嵌入模型和指数族非线性模型, Zhu, Tang 和 Wei[4]关于半参数非线性模型,唐年胜、韦博成和王学仁[5]关于非线性再生散度模型, Tang 和 Wang[6]关于拟似然非线性模型等的结果. 相似文献
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非线性再生散度模型是指数族非线性模型、广义线性模型和正态非线性回归模型的推广和发展,唐年胜等人研究了该模型参数的极大似然估计及其统计诊断。本文基于Gibbs抽样和MH抽样算法讨论非线性再生散度模型参数的Bayes估计。模拟研究和实例分析被用来说明该方法的有效性。 相似文献
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This paper presents a unified diagnostic method for exponential nonlinearmodels with random effects based upon the joint likelihood given by Robinson in 1991.The authors show that the case deletion model is equivalent to mean shift outlier model.From this point of view, several diagnostic measures, such as Cook distance, score statistics 相似文献
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指数族广义非线性随机系数模型是Smith &; Heitjan[10]和 Wei et al[11]所研究模型的推广。该文分别在模型离差 (dispersion) 的权不变和变异时,讨论了指数族 广义非线性随机系数模型的变离差的检验问题,得到了score检验统计量。并利用欧洲野兔数据,分别对正态分布模型、Γ 分布模型和
逆高斯分布模型说明检验方法的有效性。 相似文献