Testing Statistical Hypotheses

The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample optimality, together with the requisite tools. In add...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Lehmann, Erich L. (Auteur), Romano, Joseph P. (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: New York, NY : Springer New York : Imprint: Springer, 2005.
Édition:3rd ed. 2005.
Collection:Springer Texts in Statistics,
Sujets:
Statistics .
Statistical Theory and Methods.
Accès en ligne:Texto Completo
Table des matières:
  • Small-Sample Theory
  • The General Decision Problem
  • The Probability Background
  • Uniformly Most Powerful Tests
  • Unbiasedness: Theory and First Applications
  • Unbiasedness: Applications to Normal Distributions; Confidence Intervals
  • Invariance
  • Linear Hypotheses
  • The Minimax Principle
  • Multiple Testing and Simultaneous Inference
  • Conditional Inference
  • Large-Sample Theory
  • Basic Large Sample Theory
  • Quadratic Mean Differentiable Families
  • Large Sample Optimality
  • Testing Goodness of Fit
  • General Large Sample Methods. .

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