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Lehmann / Romano

Testing Statistical Hypotheses

Medium: Buch
ISBN: 978-3-030-70577-0
Verlag: Springer
Erscheinungstermin: 24.06.2022
Lieferfrist: bis zu 10 Tage

Testing Statistical Hypotheses, 4 Edition updates and expands upon the classic graduate text, now a two-volume work. The first volume covers finite-sample theory, while the second volume discusses large-sample theory. A definitive resource for graduate students and researchers alike, this work grows to include new topics of current relevance. New additions include an expanded treatment of multiple hypothesis testing, a new section on extensions of the Central Limit Theorem, coverage of high-dimensional testing, expanded discussions of permutation and randomization tests, coverage of testing moment inequalities, and many new problems throughout the text.


Produkteigenschaften


  • Artikelnummer: 9783030705770
  • Medium: Buch
  • ISBN: 978-3-030-70577-0
  • Verlag: Springer
  • Erscheinungstermin: 24.06.2022
  • Sprache(n): Englisch
  • Auflage: 4th Auflage 2022
  • Serie: Springer Texts in Statistics
  • Produktform: Gebunden, HC runder Rücken kaschiert
  • Gewicht: 1891 g
  • Seiten: 1012
  • Format (B x H x T): 160 x 241 x 68 mm
  • Ausgabetyp: Kein, Unbekannt
  • Vorauflage: 978-1-4757-1925-3
Autoren/Hrsg.

Autoren

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.- 6. Invariance.- 7. Linear Hypotheses.- 8. The Minimax Principle.- 9. Multiple Testing and Simultaneous Inference.- 10. Conditional Inference.- 11. Basic Large Sample Theory.- 12. Extensions of the CLT to Sums of Dependent Random Variables.- 13. Applications to Inference.- 14. Quadratic Mean Differentiable Families.- 15. Large Sample Optimality.- 16. Testing Goodness of Fit.- 17. Permutation and Randomization Tests.- 18. Bootstrap and Subsampling Methods.- A. Auxiliary Results.