Statistical Methods for Field and Laboratory Studies in Behavioral Ecology

Scott Pardo, Michael Pardo

$204

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

CRC Press
09 March 2018

Research methods: general; Probability & statistics; Animal ecology

Series: Chapman & Hall/CRC Applied Environmental Statistics

Statistical Methods for Field and Laboratory Studies in Behavioral Ecology focuses on how statistical methods may be used to make sense of behavioral ecology and other data. It presents fundamental concepts in statistical inference and intermediate topics such as multiple least squares regression and ANOVA. The objective is to teach students to recognize situations where various statistical methods should be used, understand the strengths and limitations of the methods, and to show how they are implemented in R code. Examples are based on research described in the literature of behavioral ecology, with data sets and analysis code provided.

Features:

This intermediate to advanced statistical methods text was written with the behavioral ecologist in mind

Computer programs are provided, written in the R language.

Datasets are also provided, mostly based, at least to some degree, on real studies.

Methods and ideas discussed include multiple regression and ANOVA, logistic and Poisson regression, machine learning and model identification, time-to-event modeling, time series and stochastic modeling, game-theoretic modeling, multivariate methods, study design/sample size, and what to do when things go wrong.

It is assumed that the reader has already had exposure to statistics through a first introductory course at least, and also has sufficient knowledge of R. However, some introductory material is included to aid the less initiated reader.

Scott Pardo, Ph.D., is an accredited professional statistician (PStat®) by the American Statistical Association. Michael Pardo is a Ph.D. is a candidate in behavioral ecology at Cornell University, specializing in animal communication and social behavior.

By: Scott Pardo, Michael Pardo
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 1.250kg
ISBN: 9781138743366
ISBN 10: 1138743364
Series: Chapman & Hall/CRC Applied Environmental Statistics
Pages: 302
Publication Date: 09 March 2018
Audience: College/higher education , General/trade , Primary , ELT Advanced
Format: Hardback
Publisher's Status: Active

Preface. Statistical Foundations. Binary Results – Single Samples and 2 x 2 Tables. Continuous Variables – One and Two Samples. The Linear Model – Continuous Regressor Variables. The Linear Model – Discrete Regressor Variables. The Linear Model – Random Effects and Mixed Models. Polytomous Discrete Variables – R x C Contingency Tables. The Generalized Linear Model – Logistic Regression. Multivariate Continuous Variables – Dimension Reduction. Multivariate Continuous Variables – Grouping and Discrimination. Bayesian and Frequentist Philosophies. Decision and Game Theory – Bayesian and Non-Bayesian. Some Notes on Sample Size Estimation.

Scott Pardo, Michael Pardo