Densities of determinant ratios, their moments and some simultaneous confidence intervals in the multivariate Gauss-Markoff model

IF 0.6 4区 数学 Q4 MATHEMATICS, APPLIED
W. Oktaba
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引用次数: 1

Abstract

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
多元高斯-马尔科夫模型中行列式比的密度、矩和一些同步置信区间
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
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来源期刊
Applications of Mathematics
Applications of Mathematics 数学-应用数学
CiteScore
1.50
自引率
0.00%
发文量
0
审稿时长
3.0 months
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.
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