Sequential Analysis: A Guide for Behavorial Researchers
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TL;DR
This book discusses everyday computations of stationarity, order and homogeneity, as well as logit models and logistic regression, and the problem of autocontingency and its solutions.
Abstract
Preface Reading this book quickly Part I. Introduction: 1. Advertisement 2. History 3. The language of sequential analysis Part II. Fitting the Timetable: 4. The order of the Markov chain 5. Stationarity of the Markov chain 6. Homogeneity 7. Everyday computations of stationarity, order and homogeneity 8. Sampling distributions 9. Lag sequential analysis Part III. The Timetable and the Contextual Design: 10. Log-linear models 11. Log-linear models: review and examples 12. A single case analysis of the timetable 13. Logit models and logistic regression 14. The problem of autocontingency and its solutions 15. Recent advances: a brief overview 16. A brief summary References Index.