带Gauss型误差具有Rao简单结构的GMANOVA-MANOVA模型中未知参数的置信域

Confidence Regin of Unknown Parameter in GMANAVA-MANOVA Models with Gauss-Error and R.S.S

对于带Gauss型误差具有Rao简单结构的GMANOVA-MANOVA模型利用极大似然估计的方法构造了未知参数的置信域。由此可更好地了解此模型的理论意义和实用价值。

By applying the maximum likelihood method, the confidence regions of unknown parameter in GMANAVA-MANOVA models with Gauss-error are obained. Thus, the meaning of theory and practical value of the model can be understood well.