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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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Lehmann, Erich L. (Author), Romano, Joseph P. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer New York : Imprint: Springer, 2005.
Edition:3rd ed. 2005.
Series:Springer Texts in Statistics,
Subjects:
Statistics .
Statistical Theory and Methods.
Online Access:Texto Completo
Table of Contents:
  • 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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