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引用次数: 1
摘要
总结。本文给出或指出了以下3个模型的3个模型:1、0、0、0、0、0、0、0、0、0、0、0、0、0、0、0、0、0、0、0、0、0、0、0、0、0、0、0、0、0、0、0。1°deteгminant гa是独立卡方分布的乘积,2°弯矩是deteгminants, 3°是获得deteгminants密度的方法。s g u r协方差马tг我x,设置o f线г参数功能,时刻o f行列式比率,同时近似置信区间
Densities of determinant ratios, their moments and some simultaneous confidence intervals in the multivariate Gauss-Markoff model
Summary. The fo l lowing three г e s u l t s for the g ene гal multivariate Ga u ss- M a r k o ff model with a s in g u la r covaгiance ma tri x aг e given or indicated. 1° deteгminant гa tio s as products o f independent chi-square distributions, 2° moments for the deteгminants and 3° the method o f obtaining appгoximate densities o f the deteгminants. s in g u la r covariance ma t г i x, set o f l ine aг parametric functions, moment o f determinant ratio, approximate simultaneous confidence interval
期刊介绍:
Applications of Mathematics publishes original high quality research papers that are directed towards applications of mathematical methods in various branches of science and engineering.
The main topics covered include:
- Mechanics of Solids;
- Fluid Mechanics;
- Electrical Engineering;
- Solutions of Differential and Integral Equations;
- Mathematical Physics;
- Optimization;
- Probability
Mathematical Statistics.
The journal is of interest to a wide audience of mathematicians, scientists and engineers concerned with the development of scientific computing, mathematical statistics and applicable mathematics in general.