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
Clasificación:Libro Electrónico
Autor principal: Good, Phillip I. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2005.
Edición:3rd ed. 2005.
Colección:Springer Series in Statistics,
Temas:
Statistics .
Biometry.
Statistical Theory and Methods.
Biostatistics.
Statistics in Business, Management, Economics, Finance, Insurance.
Acceso en línea:Texto Completo
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.

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