Multiparametric statistics

This 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 t...

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Detalles Bibliográficos
Autor principal: Serdobolskii, V. (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Amsterdam ; Oxford : Elsevier 2008.
Colección:EBSCO Academic eBook Collection Complete.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b31643383*spi
Tabla de Contenidos:
  • Foreword
  • Preface
  • Chapter 1. Introduction: The Development of Multiparametric Statistics
  • Chapter 2. Fundamental Problem of Statistics
  • Chapter 3. Spectral Theory of Large Sample Covariance Matrices
  • Chapter 4. Asymptitically Unimprovable Solution of Multivariate Problems
  • Chapter 5. Multiparametric Discriminant Analysis
  • Chapter 6. Theory of Solution to High-Order Systems of Empirical Linear Algebraic Equations
  • Appendix
  • References
  • Index.