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Record Nr. |
UNINA9910452420003321 |
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Autore |
Hilborn Ray <1947-> |
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Titolo |
The ecological detective [[electronic resource] ] : confronting models with data / / Ray Hilborn and Marc Mangel |
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Pubbl/distr/stampa |
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Princeton, N.J., : Princeton University Press, 1997 |
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ISBN |
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1-4008-4731-1 |
1-299-13327-4 |
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Edizione |
[Course Book] |
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Descrizione fisica |
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1 online resource (335 p.) |
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Collana |
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Monographs in Population Biology ; ; 28 |
Monographs in population biology ; ; 28 |
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Classificazione |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Ecology - Mathematical models |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Frontmatter -- Contents -- Preface: Beyond The Null Hypothesis -- 1. An Ecological Scenario and the Tools of the Ecological Detective -- 2. Alternative Views of the Scientific Method and of Modeling -- 3. Probability and Probability Models: Know Your Data -- 4. Incidental Catch in Fisheries: Seabirds in the New Zealand Squid Trawl Fishery -- 5. The Confrontation: Sum of Squares -- 6. The Evolutionary Ecology of Insect Oviposition Behavior -- 7. The Confrontation: Likelihood and Maximum Likelihood -- 8. Conservation Biology of Wildebeest in the Serengeti -- 9. The Confrontation: Bayesian Goodness of Fit -- 10. Management of Hake Fisheries in Namibia -- 11. The Confrontation: Understanding How the Best Fit Is Found -- APPENDIX. "The Method of Multiple Working Hypotheses" / Chamberlain, T. C. -- References -- Index |
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Sommario/riassunto |
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The modern ecologist usually works in both the field and laboratory, uses statistics and computers, and often works with ecological concepts that are model-based, if not model-driven. How do we make the field and laboratory coherent? How do we link models and data? How do we use statistics to help experimentation? How do we integrate modeling and statistics? How do we confront multiple hypotheses with data and assign degrees of belief to different hypotheses? How do we |
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