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Related to Likelihood function: Maximum likelihood estimation


A statement of the chance that an unknown quantity in reality has a particular value based on the readiness with which it would account for a given set of data; in this way the merits of various competing interpretations may be compared.



likelihood function
a method used to estimate unknown parameters, using a function constructed from a statistical model which gives the probability of the observed data for various values of the unknown parameter. The values which maximize the probability are the maximum likelihood estimates.
maximum likelihood estimates
see likelihood function (above).

Patient discussion about likelihood

Q. What is the likelihood of my depression returning? I have a history of severe depression. My mom is very against medication and counseling, and reluctantly allowed me to go on the lowest dosage of zoloft. It helped, but now she wants me to go off of it and stop going to my doctor. My fear is that my depression will return. What are the chances of my depression returning, and how can I handle it if and when it does?

A. hi kelly17 i agree with eleanor55, i donot have bi-polar-but it seems to me that the problem isnt YOU/it your mother-Im going to be real here-if your mother knows that the meds help why is she stopping them--I think the stigma of the disease is her problem,like the other members said, and if she is doing this to you for that reason/BAD ON HER---at 17 i think you are under age--I dont want to start a family feud but i think this is child abuse--talk to soom one at school teacher/ect----stay strong things get better with time you have a lot of friends her USE THEM---mrfot56

More discussions about likelihood
References in periodicals archive ?
i] parameters, and the remaining terms are the likelihood functions.
In equation (9), the contribution of censored, stock-sampled observations to the likelihood function is strictly from the last two terms; such observations simply provide information about the survivor function between (r, t).
8 Specifically, the hessian of the log likelihood function is then block diagonal across ([Alpha],[Beta]) and ([x.
The likelihood function is obtained by replacing each k in equation (8) by equation (11):
Normalization is not required to set up the likelihood functions described in the next section.
Thus we, like Berger, Black, and Scott (2004), have expressed the likelihood function as a function of the hazard functions.
The bimodal nature of the likelihood function means that the size and age where the change in growth occurs is not well defined.
Because of the similarity between the demand-based and the supply-based models, we present only the likelihood function of the demand-based model of Equation 9.
This process continues until the likelihood function in (5) is maximized.
This likelihood function must be maximized numerically and methods for this computation will be discussed later.
The likelihood function incorporated the predicted and observed data, returning a value that represents an empirical measure of the plausibility of the observed incidence data.