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say X, will take a valueexactly equalto x. Note the difference between the cumulative distribution function (CDF) and the probability density function (PDF) – Here the focus is on one specific value. Whereas, for the cumulative distribution function, we are interested in the prob...
If li=0, then the observation is not censored, and the parameter can be estimated with normal maximum likelihood. The likelihood function is given by (4)L(θ,xi)=φ(yi|fθ(xi))where φ is the Probability Density Function of a Gaussian distribution. • if li=1, then yi is censored...