Abstract
An observed contingency table is incomplete if it contains zeros in certain cells. Such zeros are of two types, random zeros and structural zeros. A cell has a random zero, if the observed value in the cell is zero, but the expected value is positive. A cell has a structural zero if the expected number is zero, i.e. if it is known a priori that the cell will contain a zero. Random or structural zeros does not impaire the log-linear structure of a given model. It means, however, that certain log-linear parameters can not be estimated.
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© 1994 Springer-Verlag Berlin · Heidelberg
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Andersen, E.B. (1994). Incomplete Tables, Separability and Collapsibility. In: The Statistical Analysis of Categorical Data. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-78817-8_7
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DOI: https://doi.org/10.1007/978-3-642-78817-8_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-78819-2
Online ISBN: 978-3-642-78817-8
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