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What is quasi-likelihood?

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Answer

  • Rather than a full parametric distribution, specify only a mean-variance relationship: E[Y] = μ, Var(Y)  =  φ    V(μ)\operatorname{Var}(Y)\; = \;{\varphi}\; \cdot \;V({\mu}).
  • Quasi-scores solve exact same equations as MLE for the mean, but SEs use estimated dispersion φ.
  • Quasi-Poisson: V(μ) = μ, φ estimated → same β as Poisson but corrected SEs.
  • Cheap fix when the distribution isn't quite right — used extensively in industry counting problems.
Check yourself — multiple choice
  • Same as MLE
  • Specify only mean-variance relationship (Var = φ·V(μ)); same β as MLE, SEs corrected by dispersion φ; standard fix for overdispersed counts
  • Not real
  • Requires normality

Quasi-likelihood: mean-var relation only; corrects SEs via dispersion φ.

#regression#glm

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