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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 ?
Using the maximum likelihood estimates of the parameters of the normal and Student distributions, gives cumulative probabilities for this observation of .
The maximum likelihood estimate of the parameter of the exponential distribution based on 106 simulated individual claim amounts is [Mathematical Expression Omitted].
The maximum likelihood estimate of the parameter of the exponential distribution based on 515 simulated individual claim mounts is [Mathematical Expression Omitted].
Comment 1: The most significant point about the MNL Model (5) is that the maximum likelihood estimates of [[alpha].
6) However, under certain assumptions regarding the latent variable z, in particular, that it is purely familial, (7) we can estimate a 'within-family deviation' version of the MNL model where the maximum likelihood estimates would not be biased.
Table 2 shows the maximum likelihood estimates in the context of its productive efficiency.
The maximum likelihood estimates for productive efficiency show that in the single output case, parameter of capital input is positive and statistically significant.
METHODS: We used a subsampling bootstrap procedure to obtain the maximum likelihood estimates and confidence bounds for common national effects of the criteria pollutants, as measured by the percentage increase in daily mortality associated with a unit increase in daily 24-hr mean pollutant concentration on the previous day, while controlling for weather and temporal trends.
The means of the 5,000 maximum likelihood estimates of the common pollutant effects were approximately unbiased and consistent estimators of the common national effects of the pollutants.
Table 3 summarized the result of the maximum likelihood estimates of the parameters in the Cobb-Douglas stochastic profit frontier function (model 2) and the conventional Cobb-Douglas profit model (model 1).
1959): "On the Finite Sample Distributions of Maximum Likelihood Estimates in Structural Equations," (mimeographed).

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