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高斯空间过程的自回归参数检验
A simple test is given of the autoregression parameter in Gaussian spatial processes using a conditional model. The test statistic is derived from the pseudolikelihood. Exact and approximate null distributions of the test statistic are given. Its efficiency for the local alternatives has also been considered. An interval estimate of the parameter is also given.
高斯空间过程自回归参数的检验
A simple test is given of the autoregression parameter in Gaussian spatial processes using a conditional model. The test statistic is derived from the pseudolikelihood. Exact and approximate null distributions of the test statistic are given. Its efficiency for the local alternatives has also been considered. An interval estimate of the parameter is also given.
双向分类中的方差齐性检验
Approximations have been obtained to the null distribution of Bartlett's type of statistic for testing the homogeneity of one-way variances in a two-way classification. Simulation studies show that the approximations give satisfactory results even for a very small number of rows and columns.
双向分类中的方差齐性检验
Approximations have been obtained to the null distribution of Bartlett's type of statistic for testing the homogeneity of one-way variances in a two-way classification. Simulation studies show that the approximations give satisfactory results even for a very small number of rows and columns.