# A Primer of Ecological Statistics

## Gotelli, N. — Ellison, A.

### ISBN-13: 9781605350646

### W.H. FREEMAN

Marzo / 2013

2ª Edición

Inglés

579 pags

1700 gr

x x cm

Recíbelo en un plazo De 2 a 3 semanas

### Description

A Primer of Ecological Statistics, Second Edition explains fundamental material in probability theory, experimental design, and parameter estimation for ecologists and environmental scientists. The book emphasizes a general introduction to probability theory and provides a detailed discussion of specific designs and analyses that are typically encountered in ecology and environmental science. Appropriate for use as either a stand-alone or supplementary text for upper-division undergraduate or graduate courses in ecological and environmental statistics, ecology, environmental science, environmental studies, or experimental design, the Primer also serves as a resource for environmental professionals who need to use and interpret statistics daily but have little or no formal training in the subject.

The book is divided into four parts. Part I discusses the fundamentals of probability and statistical thinking. It introduces the logic and language of probability (Chapter 1), explains common statistical distributions used in ecology (Chapter 2) and important measures of central tendency and spread (Chapter 3), explains P-values, hypothesis testing, and statistical errors (Chapter 4), and introduces frequentist, Bayesian, and Monte Carlo methods of analysis (Chapter 5).

Part II discusses how to successfully design and execute field experiments and sampling studies. Topics include design strategies (Chapter 6), a 'bestiary' of experimental designs (Chapter 7), and transformations and data management (Chapter 8).

Part III discusses specific analyses, and covers the material that is the main core of most statistics texts. Topics include regression (Chapter 9), analysis of variance (Chapter 10), categorical data analysis (Chapter 11), and multivariate analysis (Chapter 12).

Part IV—new to this edition—discusses two central topics in estimating important ecological metrics. Topics include quantification of biological diversity (Chapter 13) and estimating occupancy, detection probability, and population sizes from marked and unmarked populations (Chapter 14).

The book includes a comprehensive glossary, a mathematical appendix on matrix algebra, and extensively annotated tables and figures. Footnotes introduce advanced and ancillary material: some are purely historical, others cover mathematical/statistical proofs or details, and still others address current topics in the ecological literature.

Data files and code used for some of the examples, as well as errata, are available online.

### Contents

PART I: FUNDAMENTALS OF PROBABILITY AND STATISTICAL THINKING

Probability: An Introduction

Random Variables and Probability Distributions

Summary Statistics: Measures of Location and Spread

Framing and Testing Hypotheses

Three Frameworks for Statistical Inference

PART II: DESIGNING EXPERIMENTS

Designing Successful Field Studies

A Bestiary of Experimental and Sampling Designs

Managing and Curating Data

PART III: DATA ANALYSIS

Regression

The Analysis of Variance

The Analysis of Categorical Data

The Analysis of Multivariate Data

PART IV: ESTIMATION

The Measurement of Biodiversity

Detecting Populations and Estimating their Size

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