Statistics for Ecologists : A Frequentist and Bayesian Treatment of Modern Regression Models / John Fieberg.

Format:

Book

Author/Creator:

Fieberg, John R., author.

Contributor:

Open Textbook Library, distributor.

Series:

Open textbook library.

Language:

English

Subjects (All):

Mathematics--Textbooks.

Mathematics.

Statistics--Textbooks.

Statistics.

Science--Textbooks.

Science.

Physical Description:

1 online resource

Distribution:

Minneapolis, MN : Open Textbook Library

Place of Publication:

[Place of publication not identified] : University of Minnesota Libraries Publishing, 2024.

Language Note:

In English.

Summary:

Ecological data pose many challenges to statistical inference. Most data come from observational studies rather than designed experiments; observational units are frequently sampled repeatedly over time, resulting in multiple, non-independent measurements; response data are often binary (e.g., presence-absence data) or non-negative integers (e.g., counts), and therefore, the data do not fit the standard assumptions of linear regression (Normality, independence, and constant variance). This book will familiarize readers with modern statistical methods that address these complexities using both frequentist and Bayesian frameworks.

Contents:

About the Author

Preface

Models for Normally Distributed Responses

What Variables to Include in a Model?

Frequentist and Bayesian Inferential Frameworks

Models for Non-Normal Data

Models for Correlated Data

Appendix

References

Notes:

Description based on online resource

ISBN:

9781959870029

Access Restriction:

Open Access Unrestricted online access