Record Nr.

UNINA9910586580903321

Autore

Warton David

Titolo

Eco-Stats: Data Analysis in Ecology : From t-tests to Multivariate Abundances / / by David I Warton

Pubbl/distr/stampa


Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022

ISBN

9783030884437

9783030884420

Edizione

[1st ed. 2022.]

Descrizione fisica

1 online resource (434 pages)

Collana

Methods in Statistical Ecology, , 2199-3203

Disciplina

577.0727

577.015195

Soggetti

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

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

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.

Sommario/riassunto

This book introduces ecologists to the wonderful world of modern tools for data analysis, especially multivariate analysis. For biologists with relatively little prior knowledge of statistics, it introduces a modern, advanced approach to data analysis in an intuitive and accessible way. The book begins by reviewing some core principles in statistics, and relates common methods to the linear model, a general framework for modeling data where the response is continuous. This is then extended to discrete data using generalized linear models, to designs with multiple sampling levels via mixed models, and to situations where there are multiple response variables via model-based approaches to multivariate analysis. Along the way there is an introduction to: important principles in model selection; adaptations of the model to handle non-linearity and cyclical variables; dependence due to structured correlation in time, space or phylogeny; and design-based techniques for inference that can relax some of the modelling assumptions. It concludes with a range of advanced topics in model-based multivariate analysis relevant to the modern ecologist, including fourth corner, latent variable and copula models. Examples span a variety of applications including environmental monitoring, species distribution modeling, global-scale surveys of plant traits, and small field experiments on biological controls. Math Boxes throughout the book explain some of the core ideas mathematically for readers who want to delve deeper, and R code is used throughout. Accompanying code, data, and solutions to exercises can be found in the ecostats R package on CRAN.

Record Nr.

UNISANNIOUBO0255026

Autore

Hirschman, Elizabeth C.

Titolo

Postmodern consumer research : the study of consumption as text / Elizabeth C. Hirschman, Morris B. Holbrook ; published in cooperation with the Association for Consumer Research

Pubbl/distr/stampa


Newbury Park (Cal.) ?etc.?, : SAGE, c1992

ISBN

0803947429

Descrizione fisica

VII, 146 p. ; 22 cm.

Altri autori (Persone)

Holbrook, Morris B.

Disciplina

658.834

658.8342

Soggetti

Consumo - Aspetti socio-culturali

Consumatori - Comportamento

Consumatori - Psicologia sociale