Ch 13 scaled deviance and AIC

Discussion in 'CS1' started by rlsrachaellouisesmith, Aug 13, 2019.

  1. rlsrachaellouisesmith

    rlsrachaellouisesmith Made first post

    Good evening
    I’m just trying to suss our definitions on pages 41 and 44 of chapter 13.
    The scaled deviance I understand to be twice the difference between the log likelihood of saturated model and the log likelihood of current model.
    There is then a further definition of deviance over phi (the scale parameter). So I understand this to be dependent on the familu of the distribution.
    However what is the deviance of the model and how is this calculated?

    Secondly the AIC is defined as deviance plus twice parameter. Is this the deviance only, or the scaled deviance?

    Thank you
     

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