Isye8843a, Brani Vidakovic Handout 2 1 the Likelihood Principle
نویسنده
چکیده
Likelihood principle concerns foundations of statistical inference and it is often invoked in arguments about correct statistical reasoning. Let f(x|θ) be a conditional distribution for X given the unknown parameter θ. For the observed data, X = x, the function `(θ) = f(x|θ), considered as a function of θ, is called the likelihood function. The name likelihood implies that, given x, the value of θ is more likely to be the true parameter than θ′ if f(x|θ) > f(x|θ′).
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Isye8843a, Brani Vidakovic
Likelihood principle concerns foundations of statistical inference and it is often invoked in arguments about correct statistical reasoning. Let f(x|θ) be a conditional distribution for X given the unknown parameter θ. For the observed data, X = x, the function `(θ) = f(x|θ), considered as a function of θ, is called the likelihood function. The name likelihood implies that, given x, the value o...
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