Permutation, Parametric and Bootstrap Tests of Hypotheses

This text will equip both practitioners and theorists with the necessary background in testing hypothesis and decision theory to enable innumerable practical applications of statistics. Its intuitive and informal style makes it suitable as a text for both students and researchers. It can serve as th...

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Detalles Bibliográficos
Autor principal: Good, Phillip (-)
Autor Corporativo: SpringerLink (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: New York, NY : Springer New York 2005.
Edición:3rd ed
Colección:Springer series in statistics.
Springer eBooks.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b32735170*spi
Tabla de Contenidos:
  • A Wide Range of Applications
  • Optimal Procedures
  • Testing Hypotheses
  • Distributions
  • Multiple Tests
  • Experimental Designs
  • Multifactor Designs
  • Categorical Data
  • Multivariate Analysis
  • Clustering in Time and Space
  • Coping with Disaster
  • Solving the Unsolved and the Insolvable
  • Publishing Your Results
  • Increasing Computational Efficiency.