Statistical Analysis of Behavioural Data: An Approach Based on Time-Structured Models - Hardcover

Haccou, Patsy; Meelis, Evert

 
9780198546634: Statistical Analysis of Behavioural Data: An Approach Based on Time-Structured Models

Synopsis

Presenting sophisticated statistical methods for analysing continuous-time records of behaviour, this book integrates recent developments in ethology, mathematical modelling, statistics, and technology. With numerous worked examples, the book leads the reader through the mathematical processes and their applications. The book will be incomparably useful to students and researchers in all areas of behavioural science.

The authors show how to analyse behavioural data starting with a basic model, the continuous-time Markov chain. They then indicate how and when this model can be generalized and demonstrate the suitability of their approach for detecting, for example, the effects of different experimental treatments or of changes in the social or physical environment. Competitive interactions such as predator-prey or host-parasite are also good subjects for this type of analysis.

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Review


"A description of advanced statistical techniques used for the analysis of behavioral observations collected over time. The special mathematical techniques required to analyze these situations are developed and illustrate with worked-out examples. The book has a hands-on feel and discusses many practical issues that are likely to arise. Recommended." --Choice


"Considers quantitative data analysis methods based upon explicit methods of the temporal structure of behavior. . . . logically structured and information-packed." --Perceptual and Motor Skills


About the Author

Patsy Haccou, Research Fellow, Institute of Theoretical Biology, Leiden University. Evert Meelis, Lecturer in Biostatics, Institute of Theoretical Biology, Leiden University.

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Other Popular Editions of the Same Title

9780198548508: Statistical Analysis Of Behavioural Data: An Approach Based on Time-structured Models

Featured Edition

ISBN 10:  0198548508 ISBN 13:  9780198548508
Publisher: Oxford University Press, U.S.A., 1994
Softcover