| Titre : |
Eco-Stats: Data Analysis in Ecology : From t-tests to Multivariate Abundances |
| Type de document : |
Ouvrage |
| Auteurs : |
David I. Warton, Auteur |
| Editeur : |
Cham : Springer |
| Année de publication : |
2022 |
| Importance : |
433 p |
| ISBN/ISSN/EAN : |
978-3-030-88445-1 |
| Langues : |
Anglais (eng) |
| Catégories : |
[Motbis 2025] analyse statistique
[Motbis 2025] écologie
[Motbis 2025] enquête
[Motbis 2025] modèle statistique
[Motbis 2025] statistique
|
| Index. décimale : |
DC-0 Généralités |
| Note de contenu : |
Part I - Regression Analysis for a Single Response Variable
1. “Stats 101” Revision
2. An Important Equivalence Result
3. Regression with Multiple Predictor Variables
4. Linear Models—Anything Goes
5. Model Selection
6. Mixed Effects Models
7. Correlated Samples in Time, Space, Phylogeny
8. Wiggly Models
9. Design-Based Inference
10. Analysing Discrete Data
Part II - Regression Analysis for Multiple Response Variable
11. Multivariate Analysis
12. Visualising Many Responses
13. Allometric Line Fitting
Part III - Regression Analysis for Multivariate Abundances
14. Multivariate Abundances and Environmental Association
15. Predicting Multivariate Abundances
16. Explaining Variation in Responses Across Taxa
17. Studying Co-occurrence Patterns
18. Closing Advice |
Eco-Stats: Data Analysis in Ecology : From t-tests to Multivariate Abundances [Ouvrage] / David I. Warton, Auteur . - Cham : Springer, 2022 . - 433 p. ISBN : 978-3-030-88445-1 Langues : Anglais ( eng)
| Catégories : |
[Motbis 2025] analyse statistique
[Motbis 2025] écologie
[Motbis 2025] enquête
[Motbis 2025] modèle statistique
[Motbis 2025] statistique
|
| Index. décimale : |
DC-0 Généralités |
| Note de contenu : |
Part I - Regression Analysis for a Single Response Variable
1. “Stats 101” Revision
2. An Important Equivalence Result
3. Regression with Multiple Predictor Variables
4. Linear Models—Anything Goes
5. Model Selection
6. Mixed Effects Models
7. Correlated Samples in Time, Space, Phylogeny
8. Wiggly Models
9. Design-Based Inference
10. Analysing Discrete Data
Part II - Regression Analysis for Multiple Response Variable
11. Multivariate Analysis
12. Visualising Many Responses
13. Allometric Line Fitting
Part III - Regression Analysis for Multivariate Abundances
14. Multivariate Abundances and Environmental Association
15. Predicting Multivariate Abundances
16. Explaining Variation in Responses Across Taxa
17. Studying Co-occurrence Patterns
18. Closing Advice |
|  |
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