An expansion of the index of large deviations for linear rank statistics
โ Scribed by Teresa Ledwina
- Publisher
- Elsevier Science
- Year
- 1987
- Tongue
- English
- Weight
- 134 KB
- Volume
- 5
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
For the probabilities of large deviations of Gaussian random vectors an asymptotic expansion is derived. Based upon a geometric measure representation for the Gaussian law the interactions between global and local geometric properties both of the distribution and of the large deviation domain are st
In this paper we prove large and moderate deviations results for certain sequences of mixtures of probability measures. These results give large and moderate deviations for the empirical measures of an exchangeable sequence. (~) 1997 Elsevier Science B.V.
This paper is concerned with the null distribution of test statistic T for testing a linear hypothesis in a linear model without assuming normal errors. The test statistic includes typical ANOVA test statistics. It is known that the null distribution of T converges to w 2 when the sample size n is l
Let X, Y and Z be vector spaces and let T and S be linear relations fromX to Y and Y to Z, respectively, with S everywhere defined on Y. A formula which relates the nullities and deficiencies of S, T and ST is derived. In the case when S and T have finite indices (in particular, when the vector spac