Statistical Analysis of Behavioural Data (inbunden)
Inbunden (Hardback)
Antal sidor
illustrated ed
OUP Oxford
Meelis, Evert
226 x 154 x 34 mm
780 g
Antal komponenter
9:B&W 6 x 9 in or 229 x 152 mm Case Laminate on Creme w/Gloss Lam
Statistical Analysis of Behavioural Data (inbunden)

Statistical Analysis of Behavioural Data

An Approach Based on Time-Structured Models

Inbunden Engelska, 1992-09-01
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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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Recensioner i media

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

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Introduction; Preliminary inspection of the observations; Analysis of time-inhomogeneity; Tests for exponentiality; Tests of sequential dependency properties; Simultaneous tests; Analysis based on a (semi)-Markov description; Examples of analyses based on continuous-time Markov chain modelling; Appendices; References; Author index; Subject index.