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Eco-stats : data analysis in ecology : from t-tests to multivariate abundances / / David I. Warton
Eco-stats : data analysis in ecology : from t-tests to multivariate abundances / / David I. Warton
Autore Warton David
Pubbl/distr/stampa Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022]
Descrizione fisica 1 online resource (434 pages)
Disciplina 577.0727
Collana Methods in statistical ecology
Soggetto topico Ecology - Statistical methods
Ecologia
Estadística
Processament de dades
Soggetto genere / forma Llibres electrònics
ISBN 9783030884437
9783030884420
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996485662003316
Warton David  
Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Eco-Stats: Data Analysis in Ecology : From t-tests to Multivariate Abundances / / by David I Warton
Eco-Stats: Data Analysis in Ecology : From t-tests to Multivariate Abundances / / by David I Warton
Autore Warton David
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (434 pages)
Disciplina 577.0727
577.015195
Collana Methods in Statistical Ecology
Soggetto topico Statistics
Bioinformatics
Biotic communities
Population biology
Biometry
Ecology
Statistical Theory and Methods
Community and Population Ecology
Biostatistics
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
ISBN 9783030884437
9783030884420
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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 -- 11. Multivariate analysis -- 12. Visualising many responses -- 13. Allometric line-fitting -- 14. Multivariate abundances and environmental association -- 15. Predicting multivariate abundances -- 16. Explaining variation in response across taxa -- 17. Studying co-occurrence patterns -- 18. Closing advice.
Record Nr. UNINA-9910586580903321
Warton David  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui