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5.2 Commentary
-
Martin Curd
, Richard Royall and V. P. Godambe
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Chapters in this book
- Frontmatter i
- Contents vii
- Foreword xi
- Preface xv
-
Part 1. Scientific Process. Overview
- 1. A Brief Tour of Statistical Concepts 3
-
2. Models of Scientific Inquiry and Statistical Practice: Implications for the Structure of Scientific Knowledge
- 2.1 Commentary 32
- 2.2 Commentary 39
- 2.3 Rejoinder 43
-
3. Experiments, Observations, and Other Kinds of Evidence
- 3.1 Commentary 66
- 3.2 Commentary 67
- 3.3 Rejoinder 69
-
Part 2. Logics of Evidence
-
4. An Error-Statistical Philosophy of Evidence
- 4.1 Commentary 97
- 4.2 Commentary 99
- 4.3 Rejoinder 101
-
5. The Likelihood Paradigm for Statistical Evidence
- 5.1 Commentary 138
- 5.2 Commentary 140
- 5.3 Rejoinder 145
-
6. Why Likelihood?
- 6.1 Commentary 165
- 6.2 Commentary 167
- 6.3 Rejoinder 181
-
7. Evidence Functions and the Optimality of the Law of Likelihood
- 7.1 Commentary 203
- 7.2 Commentary 205
- 7.3 Rejoinder 207
-
Part 3. Realities of Nature
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8. Whole-Ecosystem Experiments: Replication and Arguing from Error
- 8.1 Commentary 248
- 8.2 Commentary 256
- 8.3 Rejoinder 258
-
9. Dynamical Models as Paths to Evidence in Ecology
- 9.1 Commentary 286
- 9.2 Commentary 290
- 9.3 Rejoinder 292
-
10. Constraints on Negative Relationships: Mathematical Causes and Ecological Consequences
- 10.1 Commentary 308
- 10.2 Commentary 315
- 10.3 Rejoinder 318
-
Part 4. Science, Opinion, and Evidence
-
11. Statistics and the Scientific Method in Ecology
- 11.1 Commentary 360
- 11.2 Commentary 362
- 11.3 Rejoinder 367
-
12. Taking the Prior Seriously: Bayesian Analysis without Subjective Probability
- 12.1 Commentary 400
- 12.2 Rejoinder 401
-
13. Elicit Data, Not Prior: On Using Expert Opinion in Ecological Studies
- 13.1 Commentary 423
- 13.2 Commentary 428
- 13.3 Rejoinder 431
-
Part 5. Models, Realities, and Evidence
-
14. Statistical Distances as Loss Functions in Assessing Model Adequacy
- 14.1 Commentary 478
- 14.2 Commentary 480
- 14.3 Rejoinder 483
-
15. Model Identification from Many Candidates
- 15.1 Commentary 501
- 15.2 Commentary 508
- 15.3 Rejoinder 519
-
Part 6. Conclusion
- 16. The Nature of Scientific Evidence: A Forward-Looking Synthesis 527
- Contributors 553
- Index 557
Chapters in this book
- Frontmatter i
- Contents vii
- Foreword xi
- Preface xv
-
Part 1. Scientific Process. Overview
- 1. A Brief Tour of Statistical Concepts 3
-
2. Models of Scientific Inquiry and Statistical Practice: Implications for the Structure of Scientific Knowledge
- 2.1 Commentary 32
- 2.2 Commentary 39
- 2.3 Rejoinder 43
-
3. Experiments, Observations, and Other Kinds of Evidence
- 3.1 Commentary 66
- 3.2 Commentary 67
- 3.3 Rejoinder 69
-
Part 2. Logics of Evidence
-
4. An Error-Statistical Philosophy of Evidence
- 4.1 Commentary 97
- 4.2 Commentary 99
- 4.3 Rejoinder 101
-
5. The Likelihood Paradigm for Statistical Evidence
- 5.1 Commentary 138
- 5.2 Commentary 140
- 5.3 Rejoinder 145
-
6. Why Likelihood?
- 6.1 Commentary 165
- 6.2 Commentary 167
- 6.3 Rejoinder 181
-
7. Evidence Functions and the Optimality of the Law of Likelihood
- 7.1 Commentary 203
- 7.2 Commentary 205
- 7.3 Rejoinder 207
-
Part 3. Realities of Nature
-
8. Whole-Ecosystem Experiments: Replication and Arguing from Error
- 8.1 Commentary 248
- 8.2 Commentary 256
- 8.3 Rejoinder 258
-
9. Dynamical Models as Paths to Evidence in Ecology
- 9.1 Commentary 286
- 9.2 Commentary 290
- 9.3 Rejoinder 292
-
10. Constraints on Negative Relationships: Mathematical Causes and Ecological Consequences
- 10.1 Commentary 308
- 10.2 Commentary 315
- 10.3 Rejoinder 318
-
Part 4. Science, Opinion, and Evidence
-
11. Statistics and the Scientific Method in Ecology
- 11.1 Commentary 360
- 11.2 Commentary 362
- 11.3 Rejoinder 367
-
12. Taking the Prior Seriously: Bayesian Analysis without Subjective Probability
- 12.1 Commentary 400
- 12.2 Rejoinder 401
-
13. Elicit Data, Not Prior: On Using Expert Opinion in Ecological Studies
- 13.1 Commentary 423
- 13.2 Commentary 428
- 13.3 Rejoinder 431
-
Part 5. Models, Realities, and Evidence
-
14. Statistical Distances as Loss Functions in Assessing Model Adequacy
- 14.1 Commentary 478
- 14.2 Commentary 480
- 14.3 Rejoinder 483
-
15. Model Identification from Many Candidates
- 15.1 Commentary 501
- 15.2 Commentary 508
- 15.3 Rejoinder 519
-
Part 6. Conclusion
- 16. The Nature of Scientific Evidence: A Forward-Looking Synthesis 527
- Contributors 553
- Index 557