Testing statistical hypotheses

書誌事項

Testing statistical hypotheses

E.L. Lehmann

(Springer texts in statistics)

Springer, 1997

2nd ed

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注記

Originally published: New York : Wiley, c1986. (Wiley series in probability and mathematical statistics)

Includes bibliographical references and indexes

内容説明・目次

内容説明

An essential reference for any graduate student in statistics. Summarizes developments in the field of hypotheses testing. Previous edition sold 4000 copies world wide since 1997.

目次

  • 1. The general decision problem
  • 2. The probability background
  • 3. Uniformly most powerful tests
  • 4. Unbiasedness: Theory and first applications
  • 5. Unbiasedness: Applications to normal distributions
  • Confidence intervals
  • 6. Invariance
  • 7. Linear hypotheses
  • 8. Multivariate linear hypotheses
  • 9. The minimax principle
  • 10. Conditional inference.

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