Category:Loglinear Models
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This category contains results about Loglinear Models.
Definitions specific to this category can be found in Definitions/Loglinear Models.
A loglinear model is used in the context of a contingency table.
Let $\CC$ be a contingency table with $r$ rows and $c$ columns.
Let rows and columns of $\CC$ be independent.
The expected frequency of cell $\tuple {i, j}$ is:
- $m_{i j} = \dfrac {n_{i+} n_{+j} } N$
where:
- $N$ is the total for $\CC$
- $n_{i+}$ and $n_{+j}$ denote the totals for the $i$th row and $j$th column.
Then taking logarithms:
- $\ln m_{i j} = \ln n_{i+} + n_{+j} - \ln N$
That is, the logarithm of the expected number in each cell is a linear function of the logarithms of the row, column and grand totals.
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