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19篇 您的检索式:作者名="Wang Songgui"
    题名 作者 年代 出处 被引量
1GENERALIZED p-VALUES AND GENERALIZED CONFIDENCE INTERVALS FOR VARIANCE COMPONENTS IN GENERAL RANDOM EFFECT MODEL WITH BALANCED DATA显示文摘Rendao YE Songgui WANG 2007Journal of Systems Science & Complexity2007,20,4:8
2A matrix version of the Wielandt inequality and its application to statistics显示文摘Suppose that A is an n×n positive definite Hemitain matrix. Let X and Y ben×p and n×q matrices(p+q≤n), such that X*Y=O. The following inequality is provedX*AY(YAY)-Y*AX≤((λ1n)/(λ1n)2)X*AX,where λ1 and λn are respectively the largest and smallest eigenvalues of A, and M- stands for a generalized inverse of M. This inequality is an extension of the well-known Wielandt inequality in which both X and Y are vectors. The inequality is utilized to obtain some interesting inequalities about covariance matrix and various correlation coefficients including the canonical correlation, multiple and simple correlation.WANG Songgui Wai-Cheung IpDepartment of Applied Mathematics, Beijing Polytechnic University, Beijing 100022, China Institute of Applied Mathematics, Chinese Academy of Sciences, Beijing 100080, China Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China 1999Chinese Science Bulletin1999,44,2:7
3Simultaneous optimal estimates of fixed effects and variance components in the mixed model显示文摘For a general linear mixed model with two variance components, a set of simple conditions is obtained, under which, (i) the least squares estimate of the fixed effects and the analysis of variance (ANOVA) estimates of variance components are proved to be uniformly minimum variance unbiased estimates simultaneously; (ii) the exact confidence intervals of the fixed effects and uniformly optimal unbiased tests on variance components are given; (iii) the exact probability expression of ANOVA estimates of variance components taking negative value is obtained.WU Mixia WANG Songgui 2004Science China Mathematics2004,47,5:6
4A new method of spectral decomposition of covariance matrix in mixed effects models and its applications显示文摘For the mixed effects models with balanced data, a new ordering of design matrices of random effects is defined, and then a simple formula of the spectral decomposition of covariance matrix is obtained. To compare with the two methods in literature,the decomposition can not only give the actual number of all distinct eigenvalues and their expression, but also show clearly the relationship between the design matrices of random effects and the decomposition. These results can be applied to the problems for testifying the analysis of the variance estimate being a minimum variance unbiased under all random effects models and some mixed effects models with balanced data, for finding the explicit solution of maximum likelihood equations for the general mixed effects model and for showing the relationship between the spectral decomposition estimate and the analysis of variance estimate.WU Mixia WANG Songgui 2005Science China Mathematics2005,48,11:4
5Adaptive ridge predictor in finite populations显示文摘Wang Songgui 1990Chinese Science Bulletin1990,,11:1
6A new estimate of the parameters in linear mixed model显示文摘WANG Songgui YIN Suju 2002Science in China2002,45,10:1
7Consistent nonnegative estimates of variance components 显示文摘Xu Liwen Wang Songgui Shi Jianhong 2010Acta Mathematica Applicate Sinica2010,2,:1
8On the measures of multicollineaxity in least squares regression 显示文摘WANG Songgui Tse Sinkeung Chow Sheinchung 1990Statistics and Probability Letter1990,9,:1
9Kantoroyicg-tpye inequalities and the measures of inefficiency of the GLSE 显示文摘WANG Songgui HU Yang 1989ACTA Mathematics Applicatae Sinica1989,5,4:1
10A new estimate of the parameters in linear mixed models显示文摘Wang Songgui Yin Suju 2002Science in China Series A: Mathematics2002,,10:1
11The linear minimax estimator of stochastic regression coefficients and parameters under quadratic loss function显示文摘Xu liwen Wang songgui 2005Chinese Annals of Mathematics Series A2005,26,:1
12J Constrained Kantorovich Inequalities and Relative Efficiency of Least Squares 显示文摘Wang Songgui Shao 1992J Multi Analysis1992,42,:1
13Constrained Kantorovich Inequalities and relative efficiency of least squares显示文摘Wang Songgui Shao Jun 1992J Multi Analysis1992,42,:1
14Kantorovich-tpye Inequalities and the Measures of Inefficiency of the GLSE 显示文摘Wang Songgui Yang Hu 1989Acta Mathematicae Aoplicatae Sinica1989,5,:1
15Kantorovich-type inequalities and the measures of emciency of the GLSE显示文摘Wang Songgui Yang Hu 1989Acta Mathematicae Aoplicatae Sinica1989,5,:1
16A new estimate of the parameters in linear mixed models显示文摘Wang Songgui Yin Suju 2002Science in China Series A: Mathematics2002,,10:1
17The spectral decomposition of covariance matrices for the variance components models 显示文摘SHI JIANHONG WANG SONGGUI 2006Journal of Multi- variate Analysis2006,97,:1
18A TEST FOR SPHERICITY OF ERRORS IN LINEAR MODELS显示文摘For a general linear model, spherical distributions are often considered whenerrors do not have normal distribution. Several authors[1-3] studied the least squaresand James-Stein estimations for a linear model whose errors follow multivariate t or moregeneral spherical distributions. In this paper the test problem for sphericity of errors isconsidered. We propose an exact test for the sphericity by using the conditional probabilityintegral transformation and another transformation. As an important special case, thecorresponding test statistics for multivariate t distribution are obtained.WANG Songgui(Institute of Statistics, Beijing Polytechnic University, Beijing 100022, China)(Institute of Applied of Mathematics, Academia Sinica, Beijing 100080, China)YANG Zhenhai(Institute of Statistics, Beijing Polytechnic University, Beijing 100022, 1997Systems Science and Mathematical Sciences1997,10,3:0
19IMPROVED ANOVAE OF THE COVARIANCE MATRIX IN GENERAL LINEAR MIXED MODELS显示文摘在这份报纸,估计协变性矩阵的问题一般来说线性的混合模型被考虑。评估者的一个新班被建议。这个新评估者在二摆平的损失功能下面统治变化估计的分析,这被显示出。最后,把建议评估者的表演与变化的分析的作比较的一些模拟结果估计被报导。模拟结果显示这个新评估者在大多数状况下面在风险提供实质的改进。Rendao YE Tiefeng MA Songgui WANG 2011Journal of Systems Science & Complexity2011,24,1:0
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