
eBook - PDF
Asymptotic Theory of Testing Statistical Hypotheses
Efficient Statistics, Optimality, Power Loss and Deficiency
- 304 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Asymptotic Theory of Testing Statistical Hypotheses
Efficient Statistics, Optimality, Power Loss and Deficiency
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Table of contents
- Foreword
- Preface
- Notations
- 1 Asymptotic test theory
- 1.1 First-order asymptotic theory
- 1.2 Second order efficiency
- 1.3 On efficiency of first and second order
- 1.4 Power loss
- 1.5 Efficiency and deficiency
- 1.6 Deficiency results for the symmetry problem
- 2 Asymptotic expansions under alternatives
- 2.1 Introduction
- 2.2 A formal rule
- 2.3 General Theorem
- 2.4 Proof of General Theorem
- 2.5 L-, R-, and U-statistics
- 2.6 Auxiliary lemmas
- 3 Power loss
- 3.1 Introduction
- 3.2 General theorem
- 3.3 Tests based on L-, R-, and U-statistics
- 3.4 Proof of General Theorem: Lemmas
- 3.5 Proof of Lemmas
- 3.6 Power loss for L-, R-, and U-tests
- 3.7 Proofs of Theorems
- 3.8 Combined L-tests
- 3.9 Other statistics
- 4 Edgeworth expansion for the likelihood ratio
- 4.1 Introduction
- 4.2 Moment conditions
- 4.3 Case of independent but not identically distributed terms
- A LeCam’s Third Lemma
- B Convergence rate under alternatives
- B.1 General theorem
- B.2 Proof of Theorem B.1.1
- B.3 L-, R-, and U-statistics
- B.4 Proof of Theorem B.3.1
- C Proof of Theorem 1.3.1
- D The Neyman-Pearson Lemma
- E Edgeworth expansions
- F Proof of Lemmas 2.6.1–2.6.5
- F.1 Proof of Lemma 2.6.1
- F.2 Proof of Lemma 2.6.2
- F.3 Proof of Lemma 2.6.3
- F.4 Proof of Lemma 2.6.4
- F.5 Proof of Lemma 2.6.5
- G Proof of Lemmas 3.7.1–3.7.5
- G.1 Proof of Lemma 3.7.1
- G.2 Proof of Lemma 3.7.2
- G.3 Proof of Lemma 3.7.3
- G.4 Proof of Lemma 3.7.4
- G.5 Proof of Lemma 3.7.5
- H Asymptotically complete classes
- H.1 Non-asymptotic theorem on complete classes
- H.2 Asymptotic theorem on complete classes
- H.3 Power functions of complete classes
- I Higher order asymptotics for R-, L-, and U-statistics
- I.1 R-statistics
- 1.2 L-statistics
- 1.3 U-statistics
- 1.4 Symmetric statistics
- Bibliography
- Subject Index
- Author Index
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Yes, you can access Asymptotic Theory of Testing Statistical Hypotheses by Vladimir E. Bening in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over 1.5 million books available in our catalogue for you to explore.