Multivariate Statistics and Matrices in Statistics

Part 1 Asymptotic distrubtions and expansions: error bounds for asymptotic expansions of the distributions of the classification statistic W and related statistics, Y. Fujikoshi; some results on the empirical spacings process and its bootstrapped version, S. Rao Jammalamadaka and Jing Qin; on the Cornish-Fisher expansion in finite population, I. Traat. Part 2 General linear regression models: on proportionality of regression co-efficients in misspecified general lineal regression models, U. Poetter; more on the partitioned possibly restricted linear regression, H.J. Werner and C. Yapar; simpler tests of linear inequality constraints in the standard linear model, R.W. Farebrother; increasing the correlations with the response variable may not increase the co-efficient of determination - a PCA interpretation, C.M. Cuadras; discussion on the paper of C.M. Cuadras - increasing the correlations with the response variable maty not increase the co-efficient of determination - a PCA interpretation, E.-M. Tiit; testing lack of fit in mixed-effect models for longitudinal data, M. Palta and R.P. Qu. Part 3 Tests in multivariate statistics: a projection NT-type test for spherical symmetry of a multivariate distribution, Li-Xing Zhu et al; Some applictions of directional statistics to astronomy, P.E. Jupp; simple methods for fitting circles or points to spherical data, R.W. Farebrother. Part 4 Multivariate nonparametric models and their applications. Part 5 Discrimination and classification. Part 6 Matrices in statistics. (Part contents)