Abstract
The concepts of independent and dependent variables are basic to the study of relationships between variables. The approach used here is closely related to Tjur (1980, p. 120); however, the study of independence and dependence has a long history in statistics, as evident from De Moivre (1756) and Bayes (1763). In Section 6.1, a general definition of independent variables is provided, and some basic consequences of independence are considered. In Section 6.2, conditional expectations are used to study dependence between variables.
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© 1996 Springer Science+Business Media New York
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Haberman, S.J. (1996). Independence and Dependence. In: Advanced Statistics. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-4417-0_6
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DOI: https://doi.org/10.1007/978-1-4757-4417-0_6
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-2850-4
Online ISBN: 978-1-4757-4417-0
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