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Autor(en): 
  • Haccou Patsy
  • Meelis Evert
  • Statistical Analysis of Behavioural Data: An Approach Based on Time-Structured Models 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  September 1992  
    Genre:  Psychologie / Pädagogik 
     
    Animal Ecology / Applied mathematics / Behavioural theory (Behaviourism) / Behaviourism, Behavioural theory / Epidemiology and Medical statistics / MATHEMATICS / Applied / MATHEMATICS / Probability & Statistics / General / MEDICAL / Biostatistics
    ISBN:  9780198546634 
    EAN-Code: 
    9780198546634 
    Verlag:  Oxford Academic 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 238 mm / B 159 mm / D 29 mm 
    Gewicht:  784 gr 
    Illustration:  line figures, tables 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This is a how-and-why-to-do-it book for students and scientists in all the behavioral sciences. It presents sophisticated statistical methods for analyzing continuous-time records of behavior, and integrates many recent developments in ethology, mathematical modelling, statistics, and
    technology. These new methods are explicitly designed to handle sequential or simultaneous acts where neither the duration nor the sequence of the acts is predetermined, which is often the case if the time scale on which behavior is studied is relatively short. The authors show how to analyze
    behavioral 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 gradual 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. There are eight chapters and many worked examples, leading the reader through the mathematical processes and their applications. Students and researchers
    in all fields of behavioural science will find this book incomparably useful for planning and performing data analysis.

      



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