A PRIMER OF ECOLOGICAL STATISTICS GOTELLI PDF

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As a global organisation, we, like many others, recognize the significant threat posed by the coronavirus. During this time, we have made some of our learning resources freely accessible. Our distribution centres are open and orders can be placed online. Do be advised that shipments may be delayed due to extra safety precautions implemented at our centres and delays with local shipping carriers.

Request Inspection Copy. Explains fundamental material in probability theory, experimental design, and parameter estimation for ecologists and environmental scientists. If you are a lecturer interested in adopting this title for your course, please contact your Oxford representative to arrange a local 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 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 The book includes a comprehensive glossary, a mathematical appendix on matrix algebra, and extensively annotated tables and figures.

PART I. Nicholas J. He graduated with a B. Ellison, Elizabeth J. Farnsworth, and Gary D. Alpert; , and EcoSim , an ecological software package. His research interests include: the evolutionary ecology of carnivorous plants, heat shock proteins and the responses of ant assemblages to climate change, environmental proteomics, biogeography, and statistical ecology. Aaron M.

He received a B. Ellison received the National Science Foundation's Presidential Faculty Fellow award in for "demonstrated excellence and continued promise both in scientific and engineering research and in teaching future generations of students to extend and apply human knowledge.

Gotelli, Elizabeth J. Alpert; His research foci include: food web dynamics, community ecology of wetlands and forests, evolutionary ecology of carnivorous plants, and the application of Bayesian inference to ecological research and environmental decision-making. Gotelli and Ellison's book" - written by ecologists with extensive experience teaching graduate and undergraduate statistics courses.

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Search Start Search. Choose your country or region Close. Dear Customer, As a global organisation, we, like many others, recognize the significant threat posed by the coronavirus. Please contact our Customer Service Team if you have any questions. To purchase, visit your preferred ebook provider. Gotelli and Aaron M. Ellison Explains fundamental material in probability theory, experimental design, and parameter estimation for ecologists and environmental scientists.

Ellison Nicholas J. Also of Interest. Foundations of Info-Metrics Amos Golan. Robinson, Knut M. Hentschel, Gabriella L. Ecology Fourth Edition William D. Bowman, Sally D. Hacker, Michael L. The Marsh Builders Sharon Levy.

Gilbert, David Epel. Conner, Daniel L.

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A Primer of Ecological Statistics

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A Primer of Ecological Statistics. Nicholas J. Gotelli , Aaron M. Chapter 1: An lntroduction to Probability. What Is Probability?

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