Results for: Likelihood

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What is the likelihood of working in virology?

Virology is a growing field and with a lot of viral diseases still without cure, the need for virologists is stable (maybe even growing). However, the likelyhood of someone wo… (MORE)

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In Probability

The likelihood of an event occurring?

The likelihood of an event occurring is known as the probability of occurrence. This can be calculated based on previous patterns and other factors.

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In Psychology

What is the likelihood that a particular event will occur?

The likelihood of an occurrence is called its probability. Other terms associated with probability are chance, risk, and possibility.

Cinderlla 12

128 Contributions

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In Wolves

What is the likelihood of being eaten by wolves?

It depends where you live, a wolf is usually a shy animal when it's alone and not hungry, but people have been eaten before so its less likely to be eaten by wolves, but im no… (MORE)

Eclair39

44,330 Contributions

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In Pregnancy

What is the likelihood that your girlfriend is pregnant?

Her period ending the day before makes it more risky but wiping it off should not lead to pregnancy and especially since it was pre-ejaculation ( the correct word if you don't… (MORE)

On the Wallaby

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Passionate about all things Australian

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In Cyclone Tracy

What is the likelihood of cyclone Tracy recurring?

Cyclone Tracy itself will never recur. Cyclones cannot regenerate decades after they have dissipated. There is, however, a very high chance that a cyclone of Tracy's magnit… (MORE)

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In Statistics

What is full information maximum likelihood?

Full information maximum likelihood is almost universallyabbreviated FIML, and it is often pronounced like "fimmle" if"fimmle" was an English word. FIML is often the ideal too…l to usewhen your data contains missing values because FIML uses the rawdata as input and hence can use all the available information inthe data. This is opposed to other methods which use the observedcovariance matrix which necessarily contains less information thanthe raw data. An observed covariance matrix contains lessinformation than the raw data because one data set will alwaysproduce the same observed covariance matrix, but one covariancematrix could be generated by many different raw data sets.Mathematically, the mapping from a data set to a covariance matrixis not one-to-one (i.e. the function is non-injective), but rathermany-to-one. Although there is a loss of information between a raw data set andan observed covariance matrix, in structural equation modeling weare often only modeling the observed covariance matrix and theobserved means. We want to adjust the model parameters to make theobserved covariance and means matrices as close as possible to themodel-implied covariance and means matrices. Therefore, we areusually not concerned with the loss of information from raw data toobserved covariance matrix. However, when some raw data is missing,the standard maximum likelihood method for determining how closethe observed covariance and means matrices are to themodel-expected covariance and means matrices fails to use all ofthe information available in the raw data. This failure of maximumlikelihood (ML) estimation, as opposed to FIML, is due to MLexploiting for the sake of computational efficiency somemathematical properties of matrices that do not hold true in thepresence of missing data. The ML estimates are not wrong per se andwill converge to the FIML estimates, rather the ML estimates do notuse all the information available in the raw data to fit themodel. The intelligent handling of missing data is a primary reason to useFIML over other estimation techniques. The method by which FIMLhandles missing data involves filtering out missing values whenthey are present, and using only the data that are not missing in agiven row. (MORE)

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In Discrimination

How do you reduce the likelihood of discrimination?

Discrimination is a broad term. It would help a lot if you actually specify what type of discrimination you are asking about. Generally, all if not most discrimination stems f… (MORE)

Peter Zavon

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In Workplace Health and Safety

What is likelihood and severity?

Likelihood is the chance that something will happen. Severity is how bad it will be if it does happen.

Answers Publisher

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In Uncategorized

What is the meaning of the word likelihood?

In statistics, a likelihood function (often simply likelihood) is a function of a statistical model. The likelihood of a set parameter values, given outcomes x, is equal to th… (MORE)