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zestydata
zestydata
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One of the advantages of the log link is that it stabilizes the variance of data with a constant coefficient of variation. By doing so, one could run ordinary least squares on the log-transformed data. In doing soHowever, your intercepts would be biased by the offset -0.5*$v$ where $v$ is the coefficient of variation. LikeRestating what Gordon touched upon in the comments, links such as the sqrt link are often not justifiable. Even the canonical inverse link is not practical.

One of the advantages of the log link is that it stabilizes the variance of data with a constant coefficient of variation. By doing so, one could run ordinary least squares on the log-transformed data. In doing so, your intercepts would be biased by the offset -0.5*$v$ where $v$ is the coefficient of variation. Like Gordon touched upon, links such as the sqrt link are often not justifiable. Even the canonical inverse link is not practical.

One of the advantages of the log link is that it stabilizes the variance of data with a constant coefficient of variation. By doing so, one could run ordinary least squares on the log-transformed data. However, your intercepts would be biased by the offset -0.5*$v$ where $v$ is the coefficient of variation. Restating what Gordon touched upon in the comments, links such as the sqrt link are often not justifiable. Even the canonical inverse link is not practical.

Source Link
zestydata
zestydata
  • 26
  • 4

One of the advantages of the log link is that it stabilizes the variance of data with a constant coefficient of variation. By doing so, one could run ordinary least squares on the log-transformed data. In doing so, your intercepts would be biased by the offset -0.5*$v$ where $v$ is the coefficient of variation. Like Gordon touched upon, links such as the sqrt link are often not justifiable. Even the canonical inverse link is not practical.