Multiparametric Statistics - 9780444530493

Multiparametric StatisticsAuthor(s): Vadim Ivanovich Serdobolskii\nFormat: Hardback\nPublisher: Elsevier Science & Technology, United Kingdom\nImprint: Elsevier Science Ltd\nISBN-13: 9780444530493, 978-0444530493\nSynopsis\nThis monograph presents mathematical theory of statistical models described by the essentially large number of unknown parameters, comparable with sample size but can also be much larger. In this meaning, the proposed theory can be called \""essentially multiparametric\"". It is developed on the basis of the Kolmogorov asymptotic approach in which sample size increases along with the number of unknown [url] theory opens a way for solution of central problems of multivariate statistics, which up until now have not been solved. Traditional statistical methods based on the idea of an infinite sampling often break down in the solution of real problems, and, dependent on data, can be inefficient, unstable and even not applicable. In this situation, practical statisti.